{"meta":{"query_hash":"3559026f572c","filters":{"venue":"Brain Topography"},"cohort_total":108,"direct_labels_cover":0,"predictions_cover":108,"exported":108,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/3559026f572c","api":"https://metacan.xera.ac/api/v1/cohort?venue=Brain+Topography"},"results":[{"id":"W1494834104","doi":"10.1007/s10548-015-0437-3","title":"MEG–EEG Information Fusion and Electromagnetic Source Imaging: From Theory to Clinical Application in Epilepsy","year":2015,"lang":"en","type":"article","venue":"Brain Topography","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; Concordia University; Université de Montréal; École de Technologie Supérieure; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Epilepsy Society; Savoy Foundation; American Epilepsy Society","keywords":"Electroencephalography; Ictal; Computer science; Statistical parametric mapping; Magnetoencephalography; Parametric statistics; Artificial intelligence; Pattern recognition (psychology); Sensor fusion; Magnetic resonance imaging; Psychology; Neuroscience; Mathematics; Medicine; Statistics","score_opus":0.016455196892085952,"score_gpt":0.28307252755580103,"score_spread":0.26661733066371507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1494834104","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053840928,0.042618107,0.8942917,0.0044800094,0.000171831,0.00009118889,0.00011977516,0.00029016606,0.004096183],"genre_scores_gemma":[0.7883954,0.01690398,0.19273779,0.0005211444,0.00056634145,0.0001197678,0.0000879656,0.00005976406,0.0006079078],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990402,0.00051381387,0.000048211783,0.00009548975,0.00027228714,0.000029951625],"domain_scores_gemma":[0.9984028,0.0011588197,0.0001512423,0.00011163741,0.00014084768,0.000034761753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029521103,0.0006482818,0.00065892184,0.0014951861,0.00015036382,0.0011975551,0.0005416222,0.0012458942,0.00093135994],"category_scores_gemma":[0.008467329,0.00029134646,0.0004047569,0.0010675371,0.0016399581,0.0018480556,0.0010729757,0.00071914325,0.00021395914],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000685613,0.00016450702,0.008710804,0.0013441277,0.00031855959,0.00078144344,0.00033593888,0.118789785,0.050402537,0.064515255,0.0021050794,0.7518463],"study_design_scores_gemma":[0.00009677982,0.0013358429,0.019188553,0.00039822716,0.00018727739,0.003270616,0.0003151381,0.77304786,0.034550466,0.15372308,0.013739525,0.00014671995],"about_ca_topic_score_codex":0.00026718204,"about_ca_topic_score_gemma":0.00017839577,"teacher_disagreement_score":0.0029521103,"about_ca_system_score_codex":0.00045523624,"about_ca_system_score_gemma":0.0003658979,"threshold_uncertainty_score":0.015612483},"labels":[],"label_agreement":null},{"id":"W1539393780","doi":"10.1023/a:1007878001388","title":"Real Time Processing of Affective and Cognitive Stimuli in the Human Brain Extracted from MEG Signals","year":2000,"lang":"en","type":"article","venue":"Brain Topography","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Magnetoencephalography; Psychology; Retrosplenial cortex; Orbitofrontal cortex; Cognition; Recall; Prefrontal cortex; Audiology; Neuroscience; Cortex (anatomy); Cognitive psychology; Electroencephalography; Medicine","score_opus":0.025223023999551713,"score_gpt":0.32685382711709626,"score_spread":0.30163080311754453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539393780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9138664,0.00064795715,0.07902189,0.00028791706,0.00008689191,0.000076424425,0.0010158379,0.00029154497,0.0047052256],"genre_scores_gemma":[0.98982096,0.00023053364,0.0087549,0.000054975044,0.00006943064,0.00002648871,0.00035537506,0.00003282494,0.00065469625],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999434,0.000011141982,0.0000029200905,0.000014132349,0.000016705182,0.000011771141],"domain_scores_gemma":[0.9998617,0.00008173498,0.000017088412,0.0000091743395,0.000019396532,0.0000109321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014311855,0.00021838403,0.00013802528,0.0003477676,0.000083709136,0.00032681786,0.00012513463,0.00027587396,0.0018544535],"category_scores_gemma":[0.00124295,0.000099491976,0.00017955262,0.0004557623,0.00019346537,0.00031762142,0.00015202838,0.00022044277,0.00026620566],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076256244,0.00005473307,0.0073950626,0.0001548436,0.00007509559,0.0002798721,0.0003044973,0.0018001446,0.90943366,0.001395131,0.00077419844,0.077570125],"study_design_scores_gemma":[0.00008340114,0.00033910794,0.8616602,0.00003422423,0.00016395953,0.0016978488,0.00030764012,0.031173335,0.09622921,0.0056511173,0.0026037863,0.000056193905],"about_ca_topic_score_codex":0.0004859264,"about_ca_topic_score_gemma":0.0008067749,"teacher_disagreement_score":0.0018544535,"about_ca_system_score_codex":0.000078114535,"about_ca_system_score_gemma":0.00009446441,"threshold_uncertainty_score":0.0062037706},"labels":[],"label_agreement":null},{"id":"W1543088917","doi":"10.1023/a:1021470822922","title":"Intracerebral Sources of Human Auditory Steady-State Responses","year":2002,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":402,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Baycrest Hospital; University of British Columbia","funders":"","keywords":"Brainstem; Stimulus (psychology); Physics; Auditory cortex; Electrophysiology; Electroencephalography; Neuroscience; Anatomy; Psychology; Medicine","score_opus":0.04538150199095915,"score_gpt":0.28116592390808315,"score_spread":0.235784421917124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1543088917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9270056,0.0021386403,0.05093476,0.0004160763,0.000090958885,0.00008075467,0.00087935297,0.0004211704,0.018032748],"genre_scores_gemma":[0.99491924,0.00045048184,0.0028496482,0.00006193981,0.00012012224,0.000023373777,0.00016717578,0.000053715994,0.0013543525],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99993706,0.000016260903,0.0000041522776,0.000010000851,0.000018342598,0.000014146485],"domain_scores_gemma":[0.99912673,0.0006487904,0.000051400813,0.000058482085,0.00007652507,0.000038114584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018224599,0.00025935005,0.00016084047,0.0003619758,0.00023521767,0.00047645025,0.00021545931,0.00027975478,0.0048136297],"category_scores_gemma":[0.0025983008,0.00013725174,0.00022541397,0.000494508,0.0003116695,0.00046316325,0.00029729787,0.00034447957,0.00074007106],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018287338,0.000110329245,0.010320711,0.00029777508,0.00014474292,0.0018616145,0.001411552,0.0012759378,0.8345168,0.0054456023,0.0018830218,0.14090306],"study_design_scores_gemma":[0.0003174961,0.00084801216,0.65787643,0.00012692646,0.00061085564,0.014953849,0.0014651009,0.030469956,0.26021138,0.024165984,0.008839534,0.00011443831],"about_ca_topic_score_codex":0.00051961286,"about_ca_topic_score_gemma":0.000947128,"teacher_disagreement_score":0.0048136297,"about_ca_system_score_codex":0.000117678144,"about_ca_system_score_gemma":0.000108007436,"threshold_uncertainty_score":0.016103208},"labels":[],"label_agreement":null},{"id":"W1894831765","doi":"10.1007/s10548-015-0459-x","title":"Attentional Network Differences Between Migraineurs and Non-migraine Controls: fMRI Evidence","year":2015,"lang":"en","type":"article","venue":"Brain Topography","topic":"Migraine and Headache Studies","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Royal University Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Saskatchewan Health Research Foundation","keywords":"Psychology; Migraine; Attention network; Functional magnetic resonance imaging; Neuroscience; Cognitive psychology; Audiology; Medicine; Psychiatry","score_opus":0.07582440113282285,"score_gpt":0.3167029970918775,"score_spread":0.24087859595905464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1894831765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99446046,0.0017005666,0.00026450845,0.0001094855,0.0000129500295,0.000015925481,0.0001514651,0.0000034072236,0.0032812965],"genre_scores_gemma":[0.99875927,0.00043976866,0.00021262668,0.00005551043,0.00003493611,0.000010908253,0.00011952373,0.0000026941125,0.0003648601],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998816,0.00002984239,0.000008679762,0.000044329245,0.000015511008,0.00001999576],"domain_scores_gemma":[0.99932563,0.0003943999,0.00012761689,0.000058006095,0.000046813904,0.000047596895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003946439,0.00025128573,0.00020520715,0.0007544006,0.0003145024,0.0005122755,0.00028105674,0.00045063376,0.0037086904],"category_scores_gemma":[0.0019464114,0.0001401622,0.00015929209,0.00039110688,0.00047910103,0.0004953709,0.0002538372,0.00021597969,0.00014158648],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00989396,0.00068493764,0.7053849,0.0006032124,0.0013649043,0.0020889407,0.003286314,0.00025529796,0.20290053,0.0016724457,0.00085803575,0.07100645],"study_design_scores_gemma":[0.000026941523,0.00012938223,0.9979929,0.000009011732,0.000078918434,0.0003623835,0.00020942847,0.00006137464,0.00059344794,0.00029376982,0.00023962253,0.000002961967],"about_ca_topic_score_codex":0.004178151,"about_ca_topic_score_gemma":0.0052229813,"teacher_disagreement_score":0.004178151,"about_ca_system_score_codex":0.00019047124,"about_ca_system_score_gemma":0.00008573135,"threshold_uncertainty_score":0.012406826},"labels":[],"label_agreement":null},{"id":"W1965358977","doi":"10.1007/s10548-014-0415-1","title":"Automated Hippocampal Subfield Measures as Predictors of Conversion from Mild Cognitive Impairment to Alzheimer’s Disease in Two Independent Cohorts","year":2014,"lang":"en","type":"article","venue":"Brain Topography","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of California, San Diego; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; University of California, Los Angeles; Genentech; National Institutes of Health; IXICO; Servier; Synarc; South London and Maudsley NHS Foundation Trust; Swedish Brain Power; King's College London; National Institute on Aging; National Institute for Health and Care Research; Northern California Institute for Research and Education; Eisai; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; Medpace; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; European Commission; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Subiculum; Hippocampal formation; Hippocampus; Psychology; Neuropsychology; Neuroscience; Cohort; Dementia; Alzheimer's disease; Alzheimer's Disease Neuroimaging Initiative; Neurology; Internal medicine; Medicine; Oncology; Cognition; Disease; Cognitive impairment; Dentate gyrus","score_opus":0.015332631503370745,"score_gpt":0.31306814477687744,"score_spread":0.2977355132735067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965358977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993788,0.00004613759,0.00014625597,0.000009933158,0.000004956451,0.000011384644,0.0002234282,0.0000068612007,0.00017219712],"genre_scores_gemma":[0.998698,0.000026374324,0.00026537324,0.000011274947,0.000007443534,0.000017081436,0.00075821084,0.0000042575457,0.00021189787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994893,0.00011466807,0.000044172786,0.0001778034,0.00011418226,0.00005989764],"domain_scores_gemma":[0.9983365,0.0003346217,0.0004461646,0.00031552324,0.00031064605,0.00025658097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014466213,0.00056068966,0.00037864601,0.0015565642,0.00044059873,0.0009366206,0.0005000431,0.000586145,0.00075160357],"category_scores_gemma":[0.0032277326,0.00023597355,0.0004731473,0.00048171976,0.00039161724,0.00045831598,0.00082219986,0.00054549286,0.00030368424],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012989723,0.00019257759,0.99001503,0.0000112761345,0.00020008293,0.00015486754,0.00030136053,0.00030560515,0.0014758925,0.000048130165,0.00026813045,0.0057281577],"study_design_scores_gemma":[0.000029576553,0.0001737578,0.99783677,0.000003292561,0.000036004807,0.00016793021,0.000121211706,0.0011116178,0.0003265524,0.00006558817,0.000119793964,0.000007850748],"about_ca_topic_score_codex":0.006203329,"about_ca_topic_score_gemma":0.007701136,"teacher_disagreement_score":0.006203329,"about_ca_system_score_codex":0.0003134846,"about_ca_system_score_gemma":0.0002646589,"threshold_uncertainty_score":0.012334406},"labels":[],"label_agreement":null},{"id":"W1967286294","doi":"10.1007/s10548-014-0352-z","title":"Detecting Concealed Information Using Functional Near-Infrared Spectroscopy","year":2014,"lang":"en","type":"article","venue":"Brain Topography","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Zhejiang University; Zhejiang Normal University; National Natural Science Foundation of China","keywords":"Functional near-infrared spectroscopy; Dorsolateral prefrontal cortex; Psychology; Prefrontal cortex; Lie detection; Brain activity and meditation; Neuroscience; Temporal cortex; Cognitive psychology; Electroencephalography; Social psychology; Cognition; Deception","score_opus":0.022308443436227114,"score_gpt":0.2966092592907363,"score_spread":0.27430081585450916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967286294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9409533,0.00097226904,0.05342724,0.00039420123,0.00003991084,0.000028164593,0.00009033175,0.000079088,0.0040154452],"genre_scores_gemma":[0.9902166,0.0003964516,0.008570194,0.000077027136,0.00002223083,0.000007672906,0.000029912426,0.000007230576,0.0006727422],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999136,0.000022443073,0.000004484366,0.000016575066,0.000031432417,0.000011441405],"domain_scores_gemma":[0.9995005,0.00023474789,0.0001199747,0.000052990603,0.00006755228,0.000024145593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031221044,0.0002611415,0.00013122898,0.0005491747,0.00022330841,0.0005317889,0.00027003494,0.00055487454,0.0015129066],"category_scores_gemma":[0.0016357842,0.00015558989,0.0001158367,0.00028450356,0.00050889933,0.0013407641,0.00038324247,0.00042815047,0.00019625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005099219,0.00025353138,0.0326143,0.00020669395,0.00009678066,0.0007523946,0.0005826266,0.0020354372,0.7933178,0.004163595,0.00067360396,0.16479331],"study_design_scores_gemma":[0.00007641635,0.0011404129,0.5304779,0.00015499897,0.0002517814,0.01153205,0.002037358,0.088642016,0.31834817,0.043487675,0.003704206,0.00014698188],"about_ca_topic_score_codex":0.00033622727,"about_ca_topic_score_gemma":0.00072797405,"teacher_disagreement_score":0.0015129066,"about_ca_system_score_codex":0.000105920415,"about_ca_system_score_gemma":0.00012320235,"threshold_uncertainty_score":0.005061209},"labels":[],"label_agreement":null},{"id":"W1970517243","doi":"10.1007/s10548-005-0276-8","title":"Modularity and Intersection of “What”, “Where” and “How” Processing of Visual Stimuli: A New Method of fMRI Localization","year":2005,"lang":"en","type":"article","venue":"Brain Topography","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Saskatchewan","funders":"","keywords":"Modularity (biology); Vision for perception and vision for action; Visual processing; Modular design; Perception; Computer science; Visual perception; Stimulus (psychology); Neuroscience; Cognition; Psychology; Visual cortex; Communication; Cognitive psychology; Pattern recognition (psychology); Artificial intelligence; Biology","score_opus":0.038595435691851504,"score_gpt":0.3548014899301983,"score_spread":0.3162060542383468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970517243","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03204522,0.00024926025,0.96314204,0.00041726104,0.000030216272,0.000032220192,0.000081331156,0.00046032702,0.0035422212],"genre_scores_gemma":[0.548215,0.00027880687,0.4490669,0.00021077927,0.00010233703,0.00019286694,0.000098964134,0.0003990819,0.0014352482],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99955434,0.0001827773,0.000017333075,0.00013378587,0.000061279155,0.0000505413],"domain_scores_gemma":[0.9981323,0.00093335984,0.00021019753,0.0004959361,0.00013173107,0.00009650453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013532527,0.00052808487,0.00046264456,0.0015532426,0.0005137596,0.0017513636,0.0010321474,0.0006284901,0.0026213548],"category_scores_gemma":[0.005333227,0.0006186347,0.00061475957,0.0009060533,0.0028024137,0.0039265817,0.0017660217,0.0011223557,0.00033626187],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046851847,0.00009229741,0.0055382913,0.00034528814,0.00025296898,0.00024594998,0.0024320271,0.0077143237,0.28520885,0.41451222,0.0023160004,0.28087333],"study_design_scores_gemma":[0.00011306256,0.00016618993,0.017476095,0.00007092339,0.00018681315,0.000985797,0.00039359575,0.13895498,0.045748025,0.78766626,0.008114818,0.0001233512],"about_ca_topic_score_codex":0.0008693633,"about_ca_topic_score_gemma":0.0009217792,"teacher_disagreement_score":0.0026213548,"about_ca_system_score_codex":0.00040421955,"about_ca_system_score_gemma":0.00057082984,"threshold_uncertainty_score":0.008769274},"labels":[],"label_agreement":null},{"id":"W1972238767","doi":"10.1007/s10548-007-0034-1","title":"Neural Representations of Visual Words and Objects: A Functional MRI Study on the Modularity of Reading and Object Processing","year":2007,"lang":"en","type":"article","venue":"Brain Topography","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Modularity (biology); Reading (process); Object (grammar); Computer science; Artificial intelligence; Visual processing; Cognitive science; Psychology; Natural language processing; Pattern recognition (psychology); Cognitive psychology; Neuroscience; Linguistics; Perception; Biology; Philosophy","score_opus":0.0386342702350531,"score_gpt":0.34972496972958084,"score_spread":0.3110906994945277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972238767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953805,0.00011020809,0.0032780864,0.00009149746,0.0000043546174,0.00000872026,0.0000629082,0.00002295008,0.0010407395],"genre_scores_gemma":[0.9973345,0.00007361663,0.0018507494,0.000031459705,0.000010058157,0.000009275769,0.00007735652,0.00002456748,0.0005884994],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999219,0.000013439252,0.0000037012933,0.000028764669,0.000017495557,0.000014632716],"domain_scores_gemma":[0.99928695,0.0003710907,0.00016249178,0.00009254292,0.00003430413,0.0000526781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026156037,0.00020224992,0.00016772981,0.00045278046,0.0001594892,0.0004423211,0.00026846468,0.00030582177,0.00228866],"category_scores_gemma":[0.0018038901,0.00023692491,0.00015299006,0.00030652,0.0009747926,0.00090587325,0.00033178373,0.00045630068,0.00024982254],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008208113,0.00018470632,0.020345958,0.00010289362,0.00008835176,0.00040156863,0.0019785664,0.00046527304,0.9310713,0.0025316658,0.00036361173,0.04164529],"study_design_scores_gemma":[0.00014304735,0.00045278628,0.92384666,0.000016219507,0.00013388766,0.0019315666,0.0008916282,0.0039009417,0.058783103,0.008635168,0.0012310813,0.000034011377],"about_ca_topic_score_codex":0.0011816657,"about_ca_topic_score_gemma":0.0021168906,"teacher_disagreement_score":0.00228866,"about_ca_system_score_codex":0.00015795186,"about_ca_system_score_gemma":0.00015765258,"threshold_uncertainty_score":0.007656336},"labels":[],"label_agreement":null},{"id":"W1978104533","doi":"10.1007/s10548-014-0416-0","title":"Altered Network Oscillations and Functional Connectivity Dynamics in Children Born Very Preterm","year":2014,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Child and Family Research Institute; Hospital for Sick Children; University of British Columbia; University of Toronto; SickKids Foundation; Simon Fraser University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Canadian Institutes of Health Research; Down Syndrome Research Foundation","keywords":"Magnetoencephalography; Neuroscience; Psychology; Cognition; Electroencephalography; Brain activity and meditation; Neurophysiology; Neurology; Brain mapping; Network dynamics; Population; Developmental psychology; Medicine","score_opus":0.006980699404759695,"score_gpt":0.217123764052356,"score_spread":0.2101430646475963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978104533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99884284,0.000112024034,0.0004194492,0.000052432802,0.0000052218397,0.000002765884,0.000136887,0.0000083150835,0.00042008873],"genre_scores_gemma":[0.9993143,0.000112801026,0.00026854873,0.000010913253,0.0000042355186,0.000008698613,0.00008667234,0.0000069495327,0.00018679244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987566,0.000019917037,0.00000989352,0.000034730067,0.000027220403,0.00003262538],"domain_scores_gemma":[0.9993863,0.00025096067,0.00021705667,0.000036672805,0.00004807273,0.00006083381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019510498,0.0001916068,0.00021219772,0.00051015604,0.00024408592,0.0004237494,0.00026662985,0.00030510768,0.0021242395],"category_scores_gemma":[0.0029909387,0.00014734153,0.00019433987,0.0004904339,0.00043886417,0.00035204872,0.00040007278,0.00032801903,0.00014002247],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001149878,0.00008695679,0.85608995,0.00021935195,0.00017016385,0.0073020216,0.0038021952,0.0014950248,0.07877419,0.0010239709,0.00066936767,0.049216878],"study_design_scores_gemma":[0.0000034208263,0.000057080146,0.9946937,0.000013206994,0.000028987066,0.0018821608,0.0006683,0.0004669599,0.0016274566,0.0003760369,0.00017591566,0.000006805273],"about_ca_topic_score_codex":0.0043767085,"about_ca_topic_score_gemma":0.004028221,"teacher_disagreement_score":0.0043767085,"about_ca_system_score_codex":0.00031091506,"about_ca_system_score_gemma":0.00022417108,"threshold_uncertainty_score":0.008702457},"labels":[],"label_agreement":null},{"id":"W1983600915","doi":"10.1007/s10548-013-0333-7","title":"Learning to Associate Auditory and Visual Stimuli: Behavioral and Neural Mechanisms","year":2013,"lang":"en","type":"article","venue":"Brain Topography","topic":"Multisensory perception and integration","field":"Psychology","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of Mental Health","keywords":"Percept; Stimulus modality; Computer science; Townsend; Artificial intelligence; Sensory system; Artificial neural network; Multisensory integration; Psychology; Cognitive psychology; Machine learning; Neuroscience; Perception","score_opus":0.02883579745711826,"score_gpt":0.3508487478758342,"score_spread":0.3220129504187159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983600915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9654493,0.00022257621,0.027317705,0.00039429613,0.00007231431,0.000072154355,0.0000635109,0.00012427816,0.0062839543],"genre_scores_gemma":[0.9899975,0.00026598788,0.006906917,0.00014244816,0.00002193465,0.0000413692,0.000120488236,0.00003604939,0.002467314],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996494,0.000051249976,0.0000144539545,0.00010538029,0.00012909136,0.000050473805],"domain_scores_gemma":[0.9985464,0.00057777454,0.0003473198,0.00021697396,0.00013674161,0.00017472965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067587796,0.00040975198,0.0004377271,0.000280551,0.00022630917,0.0013499479,0.00070281577,0.0007729686,0.0028981543],"category_scores_gemma":[0.003933925,0.00044244618,0.0003047231,0.00025481856,0.0009014235,0.0019217711,0.00096133153,0.0012607372,0.00044663288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056843355,0.0006568218,0.032536786,0.00016350165,0.00015462557,0.0001893374,0.00052081305,0.004182574,0.79913276,0.0037484968,0.0009038568,0.15724196],"study_design_scores_gemma":[0.00024093153,0.0019318911,0.64917725,0.00007802185,0.00027861033,0.0012638033,0.0012740635,0.097061865,0.19356579,0.05133967,0.00367506,0.000113096976],"about_ca_topic_score_codex":0.001196175,"about_ca_topic_score_gemma":0.0016689029,"teacher_disagreement_score":0.0028981543,"about_ca_system_score_codex":0.00030325603,"about_ca_system_score_gemma":0.0005763697,"threshold_uncertainty_score":0.0096952915},"labels":[],"label_agreement":null},{"id":"W1989232821","doi":"10.1007/s10548-011-0182-1","title":"Neuroimaging Evidence for Top-Down Maturation of Selective Auditory Attention","year":2011,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Michael Smith Health Research BC","keywords":"Magnetoencephalography; Audiology; Psychology; Selective attention; Negativity effect; Auditory cortex; Electroencephalography; Neuroscience; Cognition; Medicine; Developmental psychology","score_opus":0.10176889252823475,"score_gpt":0.32073540436980946,"score_spread":0.21896651184157473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989232821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96463615,0.0020274709,0.01906053,0.0010797797,0.00015939567,0.00006193277,0.0011005788,0.00047467416,0.011399537],"genre_scores_gemma":[0.98655164,0.001252433,0.0066224174,0.00030698604,0.0000836332,0.000064212465,0.0006344417,0.00020643056,0.004277781],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99971336,0.000021688254,0.000018445979,0.00013193897,0.00008515737,0.000029314222],"domain_scores_gemma":[0.9977188,0.0007756055,0.0005883801,0.00036037975,0.00037071476,0.00018618182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005053024,0.00037944442,0.00032491283,0.0009813878,0.00023474179,0.0007409006,0.0005182775,0.00047188113,0.0046676407],"category_scores_gemma":[0.003225681,0.00033187104,0.000295444,0.00047472026,0.0010023959,0.0009170395,0.0005007474,0.0011786395,0.0007252628],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003079641,0.00012441544,0.025227275,0.00023067863,0.00011433532,0.0020308832,0.00051677576,0.00027624526,0.9047923,0.002905902,0.0014411525,0.062032167],"study_design_scores_gemma":[0.000028911307,0.0002453164,0.9106119,0.000032279844,0.0000931077,0.0042622588,0.00028110086,0.0006728022,0.07674459,0.003910952,0.003087476,0.00002916144],"about_ca_topic_score_codex":0.0019255687,"about_ca_topic_score_gemma":0.0022658007,"teacher_disagreement_score":0.0046676407,"about_ca_system_score_codex":0.0005004088,"about_ca_system_score_gemma":0.00048996473,"threshold_uncertainty_score":0.015614808},"labels":[],"label_agreement":null},{"id":"W1990147892","doi":"10.1007/s10548-006-0001-2","title":"FMRI of Ventral and Dorsal Processing Streams in Basic Reading Processes: Insular Sensitivity to Phonology","year":2006,"lang":"en","type":"article","venue":"Brain Topography","topic":"Reading and Literacy Development","field":"Psychology","cited_by":126,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia; University of Saskatchewan","funders":"Canadian Institutes of Health Research","keywords":"Phonology; Dorsum; Reading (process); Sensitivity (control systems); Neuroscience; Psychology; Computer science; Speech recognition; Cognitive psychology; Linguistics; Medicine; Anatomy; Philosophy; Engineering","score_opus":0.007690160313250012,"score_gpt":0.2640381036198215,"score_spread":0.25634794330657146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990147892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857691,0.00038932555,0.0072268806,0.0005536134,0.00003084885,0.00004887059,0.0004943086,0.0001236258,0.0053633777],"genre_scores_gemma":[0.9937996,0.00024940885,0.0037492225,0.00016679552,0.000049005866,0.0000760622,0.0002101437,0.00007225743,0.0016274219],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99990606,0.000018459305,0.0000045520364,0.000029190194,0.00001457901,0.000027205479],"domain_scores_gemma":[0.9993729,0.00043380767,0.000055945005,0.000035103032,0.000045777964,0.000056477107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035557977,0.00032821044,0.00022822448,0.0005162706,0.00030214753,0.0005824427,0.00024462317,0.0005191908,0.006080112],"category_scores_gemma":[0.0019813708,0.00037926575,0.00022540151,0.00032812287,0.0005809618,0.00077615655,0.0003092038,0.0006526358,0.00033666045],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001725602,0.00019663962,0.021823721,0.00019914037,0.000077336364,0.0008006402,0.00079860224,0.0006004756,0.92444146,0.0018051957,0.0010292034,0.046501916],"study_design_scores_gemma":[0.00024259041,0.0007119927,0.840992,0.00006924265,0.00023947052,0.004241952,0.0009422875,0.0059108506,0.14017281,0.0042674993,0.0021574968,0.00005190196],"about_ca_topic_score_codex":0.0020721357,"about_ca_topic_score_gemma":0.0039106254,"teacher_disagreement_score":0.006080112,"about_ca_system_score_codex":0.00021375014,"about_ca_system_score_gemma":0.00037984853,"threshold_uncertainty_score":0.020340025},"labels":[],"label_agreement":null},{"id":"W1990650691","doi":"10.1007/s10548-014-0365-7","title":"Identifying and Quantifying Multisensory Integration: A Tutorial Review","year":2014,"lang":"en","type":"review","venue":"Brain Topography","topic":"Multisensory perception and integration","field":"Psychology","cited_by":248,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Center for Research Resources; National Institute of General Medical Sciences; National Institute on Deafness and Other Communication Disorders; National Institute of Mental Health","keywords":"Multisensory integration; Computer science; Process (computing); Field (mathematics); Human–computer interaction; Perception; Functional magnetic resonance imaging; Artificial intelligence; Machine learning; Data science; Neuroscience; Psychology","score_opus":0.22999680000208356,"score_gpt":0.48124668938522247,"score_spread":0.2512498893831389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990650691","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008446324,0.9979519,0.0010033932,0.00025582526,0.0002152712,0.0000051460643,0.000037033504,0.000015167707,0.00043188035],"genre_scores_gemma":[0.000640941,0.99683017,0.0012140406,0.00023222502,0.00053329073,0.000010605306,0.00005718006,0.000006180719,0.00047543854],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999739,0.000035560068,0.000036716792,0.00007314064,0.00009665435,0.000018932587],"domain_scores_gemma":[0.9986241,0.00076919736,0.00012814418,0.000037555044,0.00036961245,0.000071440474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012050408,0.0016153429,0.0020946686,0.0041318582,0.0002562306,0.0014067254,0.0012072502,0.0017765327,0.003639718],"category_scores_gemma":[0.00257738,0.00059881114,0.00068128057,0.0043677413,0.00095112313,0.0027383037,0.0011023328,0.0018258898,0.0022347122],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045881305,0.000050703416,0.00026597417,0.014300002,0.00013180597,0.000085740954,0.000037253885,0.0006193398,0.0018292048,0.0028407776,0.033417076,0.94637626],"study_design_scores_gemma":[0.000027602337,0.00013305899,0.0034027437,0.0077592167,0.00049886445,0.0020055221,0.000118769676,0.00080025167,0.0019595814,0.013137758,0.9700285,0.00012816029],"about_ca_topic_score_codex":0.0021933736,"about_ca_topic_score_gemma":0.0033278232,"teacher_disagreement_score":0.0041318582,"about_ca_system_score_codex":0.0007871677,"about_ca_system_score_gemma":0.0017905657,"threshold_uncertainty_score":0.012176096},"labels":[],"label_agreement":null},{"id":"W1991129056","doi":"10.1007/s10548-013-0293-y","title":"Higher Gait Variability is Associated with Decreased Parietal Gray Matter Volume Among Healthy Older Adults","year":2013,"lang":"en","type":"article","venue":"Brain Topography","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Gray (unit); White matter; Parietal lobe; Brain size; Psychology; Neurology; Magnetic resonance imaging; Medicine; Neuroscience; Nuclear medicine; Radiology","score_opus":0.008614438675040265,"score_gpt":0.27395347467065095,"score_spread":0.2653390359956107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991129056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99937785,0.00011782971,0.000103585386,0.00003437288,0.0000050816366,0.000002130534,0.00007765974,0.000004130829,0.0002773752],"genre_scores_gemma":[0.9996617,0.000041718136,0.000054112792,0.000020206075,0.000011309789,0.0000019806137,0.000074641335,0.0000015249311,0.00013285714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998889,0.000018350847,0.000015388609,0.00003563112,0.000022012555,0.000019719437],"domain_scores_gemma":[0.9993523,0.00013600315,0.00033799585,0.00003451068,0.000059334347,0.00007988605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016980924,0.00023819465,0.0002841967,0.0006298033,0.00022508453,0.00042007177,0.00017489336,0.0004485862,0.0019656722],"category_scores_gemma":[0.0013721661,0.00022720253,0.00024322428,0.0005663686,0.00016358492,0.00031710463,0.00025458858,0.00029637953,0.00016219792],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002503116,0.000085114545,0.99267876,0.000018489809,0.0001269228,0.00024343145,0.00013707131,0.000054810775,0.0024760524,0.000020886522,0.00009691774,0.0038112476],"study_design_scores_gemma":[0.000001674173,0.000024681294,0.9997719,8.2192e-7,0.0000074197906,0.00007371769,0.000029282995,0.000043267228,0.000017197011,0.000019470792,0.000009904803,6.5019225e-7],"about_ca_topic_score_codex":0.0037848244,"about_ca_topic_score_gemma":0.005190644,"teacher_disagreement_score":0.0037848244,"about_ca_system_score_codex":0.00009222656,"about_ca_system_score_gemma":0.00009806133,"threshold_uncertainty_score":0.007525623},"labels":[],"label_agreement":null},{"id":"W1992460567","doi":"10.1007/s10548-014-0423-1","title":"Localization Accuracy of Distributed Inverse Solutions for Electric and Magnetic Source Imaging of Interictal Epileptic Discharges in Patients with Focal Epilepsy","year":2015,"lang":"en","type":"article","venue":"Brain Topography","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; McGill University; Montreal Neurological Institute and Hospital","funders":"BrainLinks-BrainTools; Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft; American Epilepsy Society","keywords":"Ictal; Electroencephalography; Magnetoencephalography; Neuroimaging; Computer science; Pattern recognition (psychology); Nuclear magnetic resonance; Physics; Psychology; Neuroscience; Artificial intelligence","score_opus":0.011170829181106408,"score_gpt":0.2579402927560462,"score_spread":0.24676946357493978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992460567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920014,0.0005027496,0.006468627,0.00011942778,0.000012356886,0.00000719807,0.00012740171,0.000028878905,0.00073203543],"genre_scores_gemma":[0.9991804,0.00007077272,0.0005719603,0.000009761436,0.0000047854833,0.0000021916223,0.00007237226,0.0000033806502,0.00008450441],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981767,0.00006773793,0.0000321778,0.000037754726,0.000029238487,0.000015459646],"domain_scores_gemma":[0.99839216,0.001180511,0.00013258902,0.00010583486,0.00015824713,0.000030566338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004975674,0.00024910472,0.00025575224,0.00044156075,0.00010739861,0.00037454188,0.00017567119,0.000378502,0.0008212998],"category_scores_gemma":[0.007334004,0.00008557379,0.00019407932,0.0001910994,0.00024399819,0.00039248116,0.0002561749,0.00023587771,0.00015139188],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051218667,0.000222675,0.6045006,0.00029636518,0.0005676104,0.00155966,0.0015272241,0.025608046,0.046362724,0.0010724223,0.0012305442,0.31193033],"study_design_scores_gemma":[0.00027955987,0.00090637704,0.8970337,0.000037568567,0.00037075274,0.0049974145,0.0008420761,0.080391996,0.012113102,0.0022101079,0.0007657029,0.000051612908],"about_ca_topic_score_codex":0.00112861,"about_ca_topic_score_gemma":0.0013311926,"teacher_disagreement_score":0.00112861,"about_ca_system_score_codex":0.00012652729,"about_ca_system_score_gemma":0.00015288405,"threshold_uncertainty_score":0.002747476},"labels":[],"label_agreement":null},{"id":"W1995332459","doi":"10.1007/s10548-009-0075-8","title":"Reorganisation of the Right Occipito-Parietal Stream for Auditory Spatial Processing in Early Blind Humans. A Transcranial Magnetic Stimulation Study","year":2009,"lang":"en","type":"article","venue":"Brain Topography","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Transcranial magnetic stimulation; Neuroscience; Lateralization of brain function; Psychology; Extrastriate cortex; Posterior parietal cortex; Audiology; Visual cortex; Stimulation; Medicine","score_opus":0.020333444465764877,"score_gpt":0.2830287374355656,"score_spread":0.26269529296980076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995332459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98216355,0.0014463366,0.008477184,0.0005173069,0.00007052486,0.00006643736,0.0002973512,0.000095752126,0.006865524],"genre_scores_gemma":[0.99634475,0.00033968771,0.0012624739,0.00011412737,0.00004397493,0.000033868993,0.000105848834,0.000028788189,0.001726599],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99991465,0.000012161405,0.0000048506613,0.000024287148,0.000023844777,0.00002013721],"domain_scores_gemma":[0.9996177,0.00016244127,0.00005532207,0.000077810946,0.00005526839,0.000031394604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002989612,0.00038813456,0.0001507398,0.00044749904,0.0002637566,0.00040054903,0.00033431238,0.0005077452,0.0053048837],"category_scores_gemma":[0.0017044182,0.00029739283,0.00019201281,0.00018140893,0.0012587131,0.0005852337,0.00030415942,0.00061317696,0.00080517586],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001488133,0.000103571816,0.00764344,0.00019936706,0.000048896247,0.0021531356,0.000671298,0.00043794277,0.92492294,0.0017571512,0.0010393193,0.0595348],"study_design_scores_gemma":[0.0003628403,0.0012826186,0.8165034,0.000061839375,0.00016491867,0.016263647,0.00082972803,0.0024101564,0.14907958,0.0049414565,0.008030354,0.00006958048],"about_ca_topic_score_codex":0.002858344,"about_ca_topic_score_gemma":0.0037477184,"teacher_disagreement_score":0.0053048837,"about_ca_system_score_codex":0.00017038891,"about_ca_system_score_gemma":0.00032090134,"threshold_uncertainty_score":0.017746568},"labels":[],"label_agreement":null},{"id":"W2000511780","doi":"10.1007/s10548-012-0228-z","title":"A Short-Term Scan–Rescan Reliability Test Measuring Brain Tissue and Subcortical Hyperintensity Volumetrics Obtained Using the Lesion Explorer Structural MRI Processing Pipeline","year":2012,"lang":"en","type":"article","venue":"Brain Topography","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto; Health Sciences Centre; Sunnybrook Hospital; Heart and Stroke Foundation; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Hyperintensity; Intraclass correlation; Medicine; Nuclear medicine; Lesion; Magnetic resonance imaging; White matter; Cerebrospinal fluid; Radiology; Pathology","score_opus":0.05727869021273503,"score_gpt":0.34672457968182024,"score_spread":0.2894458894690852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000511780","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97372437,0.0002121186,0.018539792,0.00013340988,0.00011561342,0.00070341094,0.0013490282,0.00044175703,0.00478046],"genre_scores_gemma":[0.9733384,0.00014455253,0.01835849,0.00012101175,0.00006661663,0.00096841756,0.0027361435,0.0002625358,0.0040037637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965442,0.00073709595,0.0007453978,0.0005463749,0.0012828056,0.00014415717],"domain_scores_gemma":[0.9679442,0.013098362,0.0031670344,0.003358772,0.011766398,0.00066513673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00969,0.0006142752,0.00074825005,0.0021155523,0.0011992222,0.0009533805,0.0009264876,0.0010280375,0.0029552167],"category_scores_gemma":[0.029497873,0.00056588184,0.001416748,0.00097183726,0.000807057,0.0012477831,0.0009983021,0.0009266002,0.0012806418],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0069072186,0.0020417152,0.78704005,0.0004158387,0.002547789,0.0005263015,0.0032991471,0.0062197787,0.036077473,0.0017879785,0.010481059,0.14265554],"study_design_scores_gemma":[0.00025942706,0.0035673487,0.959766,0.000052389438,0.0005706032,0.0015428312,0.00052950054,0.017546324,0.01022528,0.0011138697,0.004626166,0.00020031318],"about_ca_topic_score_codex":0.0033688308,"about_ca_topic_score_gemma":0.00866327,"teacher_disagreement_score":0.00969,"about_ca_system_score_codex":0.00045228848,"about_ca_system_score_gemma":0.0010290272,"threshold_uncertainty_score":0.051246226},"labels":[],"label_agreement":null},{"id":"W2001934347","doi":"10.1007/s10548-011-0197-7","title":"A Developmental Framework of Brain and Cognition from Infancy to Old Age","year":2011,"lang":"en","type":"article","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Conceptualization; Cognition; Brain Structure and Function; Psychology; Parallels; Developmental psychology; Neuroscience; Neuropsychology; Brain size; Cognitive psychology; Brain function; Cognitive development; Brain development; Maturity (psychological); Medicine","score_opus":0.04248440285591655,"score_gpt":0.25557970586305523,"score_spread":0.2130953030071387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001934347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8346466,0.04436591,0.040621713,0.006873762,0.00013856891,0.00010051219,0.0014130294,0.0003476636,0.07149227],"genre_scores_gemma":[0.97909755,0.007310491,0.011292187,0.00014287306,0.000034047684,0.00006460794,0.00018830778,0.000024472509,0.0018455324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997465,0.000051786184,0.000012959702,0.00008853563,0.000037931433,0.000062273226],"domain_scores_gemma":[0.9993641,0.00017461607,0.0001326309,0.00005736489,0.00017187055,0.000099457575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009896712,0.0005211152,0.0003416427,0.0023802095,0.00059808366,0.0017915989,0.0007134995,0.0005925758,0.0011437633],"category_scores_gemma":[0.0017387659,0.0002158325,0.000281912,0.00075494073,0.003807573,0.00182162,0.0011235409,0.00086430926,0.00019970495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002883756,0.00019283828,0.11460367,0.0005127239,0.00016911655,0.0059939106,0.015537623,0.0063316156,0.052642938,0.57741696,0.0039271405,0.22238305],"study_design_scores_gemma":[0.000014456816,0.00040782613,0.65733683,0.00031000754,0.00011915414,0.004935485,0.0060769683,0.0045170896,0.009852573,0.2885292,0.027796725,0.00010367555],"about_ca_topic_score_codex":0.011089068,"about_ca_topic_score_gemma":0.012452855,"teacher_disagreement_score":0.011089068,"about_ca_system_score_codex":0.0015728658,"about_ca_system_score_gemma":0.00135818,"threshold_uncertainty_score":0.02204901},"labels":[],"label_agreement":null},{"id":"W2003561920","doi":"10.1007/s10548-009-0105-6","title":"Thinning of the Motor–Cingulate–Insular Cortices in Siblings Concordant for Tourette Syndrome","year":2009,"lang":"en","type":"article","venue":"Brain Topography","topic":"Obsessive-Compulsive Spectrum Disorders","field":"Psychology","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Montreal Neurological Institute and Hospital; McGill University","funders":"","keywords":"Psychology; Tourette syndrome; Insula; Neuroimaging; Neuroscience; Brain morphometry; Magnetic resonance imaging; Medicine; Psychiatry","score_opus":0.009150517164158581,"score_gpt":0.28490711958567944,"score_spread":0.27575660242152084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003561920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979372,0.00006146434,0.00013416381,0.00012285773,0.0000068690138,0.000009575578,0.00009323804,0.00001614361,0.0016183371],"genre_scores_gemma":[0.9994987,0.000048142596,0.00014195446,0.00003437697,0.000009382146,0.000003518664,0.000033399858,0.000007180142,0.00022331698],"study_design_codex":"case_report","study_design_gemma":"observational","domain_scores_codex":[0.9997639,0.00003187946,0.000024223049,0.00006688007,0.000063668595,0.000049446695],"domain_scores_gemma":[0.99931526,0.00024192389,0.00017160176,0.000033523334,0.000059146398,0.00017865452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022360754,0.001097723,0.00031716932,0.0016413383,0.0009313324,0.0004758863,0.00056013226,0.00090746273,0.004893252],"category_scores_gemma":[0.0014809762,0.0005144452,0.00028270332,0.00067149254,0.0015325659,0.00041908163,0.00050288625,0.0006372796,0.00028435985],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006293101,0.00013166686,0.20349704,0.00007768315,0.000109288885,0.7100451,0.0023391931,0.00059373793,0.07640499,0.000619696,0.0005726279,0.0049796985],"study_design_scores_gemma":[0.000037037156,0.0001829563,0.46266195,0.000020406222,0.000092393144,0.52890617,0.0009366853,0.000640489,0.0057995254,0.00032732575,0.00036556486,0.000029506242],"about_ca_topic_score_codex":0.008684085,"about_ca_topic_score_gemma":0.008423542,"teacher_disagreement_score":0.008684085,"about_ca_system_score_codex":0.00050556037,"about_ca_system_score_gemma":0.0006340276,"threshold_uncertainty_score":0.017267108},"labels":[],"label_agreement":null},{"id":"W2004122470","doi":"10.1007/s10548-011-0175-0","title":"Practical Aspects of Running Developmental Studies in the MEG","year":2011,"lang":"en","type":"article","venue":"Brain Topography","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Neurology; Psychology; Cognitive science; Computer science; Artificial intelligence; Cognitive psychology; Neuroscience","score_opus":0.1874487760595448,"score_gpt":0.407640520348295,"score_spread":0.2201917442887502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004122470","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020159522,0.005367978,0.8674322,0.07056298,0.0043356842,0.00094927714,0.00081875274,0.0026421875,0.027731463],"genre_scores_gemma":[0.10111581,0.0024938905,0.87459475,0.007206219,0.0045177257,0.0018889225,0.0001867272,0.0008544988,0.0071415254],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.98407215,0.012797532,0.0008684798,0.0007451899,0.0012416965,0.0002749686],"domain_scores_gemma":[0.7225532,0.23763455,0.0023954315,0.016241755,0.01844583,0.0027292373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05651154,0.0018801007,0.0025929357,0.0034412504,0.002736588,0.00670995,0.0051510734,0.005047016,0.018699424],"category_scores_gemma":[0.20521447,0.0012636351,0.0011097884,0.0024530173,0.008450536,0.0057840925,0.0045544035,0.0065708263,0.0046886066],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002476304,0.0008756834,0.020811634,0.0028465628,0.00056259026,0.0028148298,0.005774425,0.015969554,0.03951859,0.1624288,0.048998594,0.6969224],"study_design_scores_gemma":[0.00082082837,0.0015124709,0.03927886,0.0012068294,0.0005836553,0.006050472,0.010345207,0.025978431,0.01624297,0.81093794,0.08640658,0.0006357916],"about_ca_topic_score_codex":0.012492787,"about_ca_topic_score_gemma":0.019652462,"teacher_disagreement_score":0.05651154,"about_ca_system_score_codex":0.001108568,"about_ca_system_score_gemma":0.0044090394,"threshold_uncertainty_score":0.29886514},"labels":[],"label_agreement":null},{"id":"W2006073292","doi":"10.1007/s10548-009-0119-0","title":"Gender Differences in Brain Functional Organization During Verbal and Spatial Cognitive Challenges","year":2009,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"","keywords":"Electroencephalography; Cognition; Psychology; Coherence (philosophical gambling strategy); Brain function; Developmental psychology; Cognitive psychology; Brain activity and meditation; Spatial ability; Audiology; Neuroscience; Medicine","score_opus":0.03257994859185899,"score_gpt":0.2284982688053502,"score_spread":0.1959183202134912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006073292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959353,0.00010138498,0.00039994964,0.000063548105,0.000020130332,0.000012622746,0.00022273928,0.0000069997677,0.003237262],"genre_scores_gemma":[0.9979056,0.000046881323,0.00012245694,0.000032314856,0.000011752789,0.00001326824,0.00009244664,0.000010482717,0.0017648017],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998845,0.000015182189,0.0000050671983,0.000029084142,0.00003483148,0.000031277392],"domain_scores_gemma":[0.99947304,0.00022067128,0.00013377996,0.000035246005,0.000068242676,0.00006897727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020327844,0.00014894211,0.00022120622,0.00022758453,0.0001642141,0.00053785875,0.00017011716,0.00030319617,0.006102766],"category_scores_gemma":[0.0028467688,0.00013852803,0.000104608196,0.00014562132,0.00030136187,0.0004299464,0.00026002078,0.00023045618,0.00034308393],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008617736,0.00055091025,0.1781309,0.00020689222,0.00015729942,0.00186414,0.010103317,0.0017335137,0.718229,0.003008568,0.002116782,0.07528103],"study_design_scores_gemma":[0.000036185862,0.0005168087,0.9880697,0.00001668164,0.000023186929,0.0006195104,0.0014206446,0.00084663107,0.0064143,0.0011827804,0.0008351694,0.000018347268],"about_ca_topic_score_codex":0.0019884687,"about_ca_topic_score_gemma":0.0029140771,"teacher_disagreement_score":0.006102766,"about_ca_system_score_codex":0.00018900512,"about_ca_system_score_gemma":0.00020103024,"threshold_uncertainty_score":0.020415783},"labels":[],"label_agreement":null},{"id":"W2013284758","doi":"10.1007/s10548-013-0302-1","title":"Negative BOLD Response to Interictal Epileptic Discharges in Focal Epilepsy","year":2013,"lang":"en","type":"article","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Savoy Foundation; Epilepsy Foundation","keywords":"Ictal; Epilepsy; Electroencephalography; Neurology; Neuroscience; Temporal lobe; Electrophysiology; EEG-fMRI; Psychology; Audiology; Medicine","score_opus":0.01818381280884675,"score_gpt":0.25726371668263454,"score_spread":0.23907990387378777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013284758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975127,0.0001168156,0.00039968407,0.00004313748,0.000005441428,0.0000047770222,0.000045999685,0.0000040850296,0.0018672661],"genre_scores_gemma":[0.99944323,0.00007766482,0.00008644939,0.00001939289,0.000012592072,0.0000046475025,0.000052463616,0.0000034153363,0.00030009024],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99995935,0.000012386431,0.0000032941252,0.000007690397,0.0000074510735,0.000009670705],"domain_scores_gemma":[0.9997371,0.0001236044,0.00006359843,0.000015328495,0.000026250898,0.000034165965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019150687,0.00018712695,0.00012172177,0.0002987216,0.00016568754,0.00017226774,0.00012433593,0.0002275329,0.0017510368],"category_scores_gemma":[0.001165339,0.00007728269,0.00006643084,0.00014588941,0.00028334552,0.00020016609,0.00014655967,0.00021113757,0.00013687246],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048984936,0.0003045073,0.16909477,0.0002390332,0.00016280265,0.0038720756,0.0010001311,0.0007427263,0.7699185,0.0010169365,0.00073141017,0.0480186],"study_design_scores_gemma":[0.00002725096,0.00037071024,0.985824,0.000008448453,0.000047965186,0.0020643582,0.00026784488,0.00047166448,0.010115868,0.00046967485,0.0003261088,0.0000062158497],"about_ca_topic_score_codex":0.0007458804,"about_ca_topic_score_gemma":0.0015792113,"teacher_disagreement_score":0.0017510368,"about_ca_system_score_codex":0.00010742965,"about_ca_system_score_gemma":0.00007312551,"threshold_uncertainty_score":0.0058578253},"labels":[],"label_agreement":null},{"id":"W2020130186","doi":"10.1007/s10548-013-0343-5","title":"The Role of Left Inferior Fronto-Occipital Fascicle in Verbal Perseveration: A Brain Electrostimulation Mapping Study","year":2013,"lang":"en","type":"article","venue":"Brain Topography","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; University of Toronto","funders":"","keywords":"Perseveration; Fascicle; White matter; Stimulation; Medicine; Neuroscience; Psychology; Anatomy; Radiology; Magnetic resonance imaging; Cognition","score_opus":0.01787890440456127,"score_gpt":0.29982240863826876,"score_spread":0.2819435042337075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020130186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99896145,0.00008643574,0.00038439743,0.00006012445,0.0000058962914,0.000013286206,0.000024970792,0.0000048372967,0.00045847314],"genre_scores_gemma":[0.99965763,0.000031588974,0.00008268757,0.000020355596,0.000011215951,0.000006029401,0.000012420138,0.0000018020244,0.00017621333],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999008,0.000022361475,0.000008496431,0.000026926618,0.000016022823,0.000025423613],"domain_scores_gemma":[0.9993567,0.00040004693,0.00011319506,0.000049212922,0.00003176507,0.000049092265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033712166,0.0003872097,0.00019519244,0.0004448875,0.00029703553,0.00031932504,0.00035424836,0.00053122605,0.0031299626],"category_scores_gemma":[0.0013841228,0.00013943012,0.00018062929,0.00016311873,0.0011077425,0.0005218302,0.00020395583,0.00032663625,0.00022391987],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012649477,0.0019235831,0.28082246,0.00024001685,0.00026366476,0.09920244,0.002763801,0.0009552197,0.54091555,0.0013136287,0.0003847049,0.058565512],"study_design_scores_gemma":[0.0003189469,0.0027010352,0.93699205,0.000015476688,0.00017516634,0.02900878,0.0012891247,0.0021658882,0.025392907,0.0012889864,0.00062133616,0.000030270981],"about_ca_topic_score_codex":0.001457494,"about_ca_topic_score_gemma":0.001089471,"teacher_disagreement_score":0.0031299626,"about_ca_system_score_codex":0.0001999109,"about_ca_system_score_gemma":0.0002464219,"threshold_uncertainty_score":0.010470748},"labels":[],"label_agreement":null},{"id":"W2025259679","doi":"10.1007/s10548-012-0238-x","title":"Conventional and Reciprocal Approaches to the Inverse Dipole Localization Problem for N20–P20 Somatosensory Evoked Potentials","year":2012,"lang":"en","type":"article","venue":"Brain Topography","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Université de Montréal; Polytechnique Montréal","funders":"Canadian Institutes of Health Research","keywords":"Dipole; Inverse problem; Somatosensory evoked potential; Reciprocal; Computer science; Inverse; Position (finance); Physics; Nuclear magnetic resonance; Mathematics; Mathematical analysis; Neuroscience; Psychology; Geometry","score_opus":0.08949012729263094,"score_gpt":0.26606841381897056,"score_spread":0.1765782865263396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025259679","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020637286,0.00036387498,0.9934963,0.00022306577,0.000052018622,0.00002261812,0.00003108794,0.000043744873,0.0037035989],"genre_scores_gemma":[0.14477694,0.003861007,0.8284118,0.0003060609,0.0004586813,0.0002897149,0.00022538262,0.00025950637,0.021410923],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999479,0.00019000919,0.00004000419,0.00008758508,0.00018008641,0.00002339054],"domain_scores_gemma":[0.9993824,0.00036441538,0.000042204985,0.00006652421,0.00012579862,0.000018719973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012098034,0.0008242441,0.00040483233,0.0006741102,0.00028117088,0.0012155152,0.0013415171,0.0012866443,0.005818343],"category_scores_gemma":[0.004149068,0.00033581082,0.0007789395,0.00079799234,0.0011370346,0.0019129909,0.0012618268,0.0013220097,0.0018835365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014312878,0.00007610274,0.00030556216,0.0007004331,0.000087683984,0.0003921487,0.0004885154,0.119309686,0.025299042,0.6846417,0.0060384623,0.16251762],"study_design_scores_gemma":[0.000053469506,0.000079636375,0.00055040093,0.00006038452,0.000045827983,0.0008625831,0.00017611525,0.6373372,0.0051684477,0.33707094,0.018525315,0.00006968208],"about_ca_topic_score_codex":0.0007888223,"about_ca_topic_score_gemma":0.0012495524,"teacher_disagreement_score":0.005818343,"about_ca_system_score_codex":0.00034835227,"about_ca_system_score_gemma":0.00058625557,"threshold_uncertainty_score":0.019464254},"labels":[],"label_agreement":null},{"id":"W2026051684","doi":"10.1007/s10548-013-0296-8","title":"Ethics of the Electrified Mind: Defining Issues and Perspectives on the Principled Use of Brain Stimulation in Medical Research and Clinical Care","year":2013,"lang":"en","type":"article","venue":"Brain Topography","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":85,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"NeuroDevNet; University of British Columbia","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Transcranial direct-current stimulation; Beneficence; Neuroethics; Autonomy; Context (archaeology); Brain stimulation; Neuroscience; Transcranial magnetic stimulation; Psychology; Engineering ethics; Economic Justice; Medicine; Cognitive science; Stimulation; Political science","score_opus":0.21477742139467346,"score_gpt":0.436889920699755,"score_spread":0.22211249930508156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026051684","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02959559,0.027384337,0.08449413,0.6983779,0.0036699618,0.00017654177,0.000055700137,0.000037096153,0.1562087],"genre_scores_gemma":[0.87134445,0.009148869,0.027986478,0.08054864,0.004493142,0.00060692447,0.000026642963,0.000064500055,0.005780347],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9327931,0.053467073,0.002265561,0.0021868362,0.007414623,0.0018728321],"domain_scores_gemma":[0.8586109,0.1267145,0.0029934184,0.005536863,0.004088049,0.0020562636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0782096,0.00049621705,0.0012831148,0.0014381764,0.004348534,0.011020236,0.0035684875,0.019535247,0.0018079912],"category_scores_gemma":[0.08796102,0.0005522902,0.0007223636,0.0010067448,0.11977028,0.011044252,0.009182099,0.015655866,0.000308931],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020028932,0.000022274658,0.00016261441,0.00006745597,0.000009513765,0.00008200906,0.0026419554,0.00018796386,0.00012782535,0.9900289,0.0014371914,0.005212278],"study_design_scores_gemma":[0.000031797907,0.00003021216,0.00018370542,0.00039056057,0.0000072953444,0.00019999847,0.001509292,0.00023655151,0.00017665901,0.97861195,0.01860301,0.000019007273],"about_ca_topic_score_codex":0.0011474196,"about_ca_topic_score_gemma":0.0012866779,"teacher_disagreement_score":0.0782096,"about_ca_system_score_codex":0.0038069815,"about_ca_system_score_gemma":0.010087024,"threshold_uncertainty_score":0.41361684},"labels":[],"label_agreement":null},{"id":"W2029810284","doi":"10.1007/s10548-007-0031-4","title":"Sensitivity of EEG and MEG to the N1 and P2 Auditory Evoked Responses Modulated by Spectral Complexity of Sounds","year":2007,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto; McMaster University","funders":"National Institute on Deafness and Other Communication Disorders","keywords":"Sensitivity (control systems); Electroencephalography; Magnetoencephalography; Audiology; Psychology; Speech recognition; Neuroscience; Computer science; Medicine; Engineering","score_opus":0.024023122872371357,"score_gpt":0.2593909403513703,"score_spread":0.23536781747899893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029810284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910856,0.0003208478,0.004420852,0.0000715526,0.000024550556,0.000034738252,0.00027145707,0.00007384082,0.0036965809],"genre_scores_gemma":[0.9985475,0.00009676527,0.00054459536,0.000083220766,0.000021979817,0.00002098093,0.00012301249,0.000018280896,0.0005436453],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998387,0.000042800402,0.0000072261164,0.000047281977,0.00003338631,0.000030546442],"domain_scores_gemma":[0.99850637,0.0011591709,0.00007011406,0.000067615416,0.000113202776,0.000083459825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027316142,0.00028599796,0.0001905261,0.00033855703,0.00013782813,0.00036095997,0.00015305323,0.0003373387,0.0024251773],"category_scores_gemma":[0.0039551216,0.00023323034,0.00020985748,0.00016508183,0.00029247193,0.00033860686,0.00036201207,0.00034488773,0.00022517834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027897495,0.00006519569,0.00996137,0.00010906297,0.000113987975,0.0002735256,0.00029287254,0.00089729956,0.9686822,0.00030333982,0.00022400475,0.0162873],"study_design_scores_gemma":[0.00009446689,0.0007097098,0.856023,0.000031328753,0.00015660046,0.002214373,0.00028103613,0.0066286433,0.13165475,0.0012423681,0.0009205044,0.000043164182],"about_ca_topic_score_codex":0.00083273585,"about_ca_topic_score_gemma":0.0007462569,"teacher_disagreement_score":0.0024251773,"about_ca_system_score_codex":0.000117421,"about_ca_system_score_gemma":0.000082979706,"threshold_uncertainty_score":0.008112967},"labels":[],"label_agreement":null},{"id":"W2030592893","doi":"10.1007/s10548-013-0308-8","title":"Cortical Thickness in Children Receiving Intensive Therapy for Idiopathic Apraxia of Speech","year":2013,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto; The Speech and Stuttering Institute","funders":"Canadian Institutes of Health Research","keywords":"Apraxia; Neurology; Audiology; Speech therapy; Psychology; Medicine; Aphasia; Neuroscience","score_opus":0.02088907387535552,"score_gpt":0.27723968210911576,"score_spread":0.2563506082337602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030592893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99987364,0.000022722532,0.000012025946,0.000003633591,3.1176245e-7,0.0000010947915,0.000013352576,0.0000015581181,0.00007167422],"genre_scores_gemma":[0.9998067,0.00003826461,0.000045129924,0.0000034245966,9.708356e-7,0.0000031158004,0.000032317592,8.3130607e-7,0.00006919317],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998074,0.00002981429,0.000016503673,0.000043269465,0.000050204282,0.000052900064],"domain_scores_gemma":[0.9992029,0.00015615074,0.00043937674,0.00003753183,0.00006502475,0.00009893225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025259051,0.00023614551,0.00023734476,0.0008448799,0.0002544488,0.00027915023,0.00015722174,0.0002242367,0.000698986],"category_scores_gemma":[0.0014424806,0.00021042832,0.00018613666,0.0004452823,0.0005797471,0.00022659615,0.00030459673,0.00036159265,0.000099585865],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048507625,0.0001309987,0.9667055,0.00003630137,0.00003776283,0.0030150528,0.0018752265,0.00021254794,0.019565308,0.000035561745,0.00006813853,0.007832611],"study_design_scores_gemma":[0.000002812996,0.000114983304,0.9980003,0.0000015214491,0.0000065564486,0.0011569273,0.00019094918,0.000031509844,0.00045762945,0.000008452587,0.00002698073,0.0000013855766],"about_ca_topic_score_codex":0.004498397,"about_ca_topic_score_gemma":0.0076672058,"teacher_disagreement_score":0.004498397,"about_ca_system_score_codex":0.00037388204,"about_ca_system_score_gemma":0.00024701894,"threshold_uncertainty_score":0.008944392},"labels":[],"label_agreement":null},{"id":"W2031358663","doi":"10.1007/s10548-015-0425-7","title":"Quantitative Assessment of the Training Improvement in a Motor-Cognitive Task by Using EEG, ECG and EOG Signals","year":2015,"lang":"en","type":"article","venue":"Brain Topography","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Regione Lazio; McGill University","keywords":"Electroencephalography; Task (project management); Cognition; Elementary cognitive task; Computer science; Metric (unit); Process (computing); Brain activity and meditation; Psychology; Cognitive psychology; Artificial intelligence; Audiology; Neuroscience; Medicine","score_opus":0.07554043992891163,"score_gpt":0.3448785602281423,"score_spread":0.26933812029923065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031358663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97408223,0.00046600268,0.021507489,0.000056458182,0.00007503521,0.00019832481,0.0007178418,0.00024566965,0.0026509927],"genre_scores_gemma":[0.9934489,0.000154194,0.0042947773,0.000028519733,0.000032719436,0.0001238275,0.000294569,0.000029254812,0.0015933197],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99977416,0.000050276343,0.000020859656,0.000048193495,0.0000783178,0.000028271492],"domain_scores_gemma":[0.99950814,0.00021213651,0.000051620405,0.00004258613,0.0001318939,0.000053698233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004468441,0.00039624263,0.00024708323,0.0004015034,0.00007935327,0.00017675389,0.00015666998,0.000350212,0.001768793],"category_scores_gemma":[0.0012148028,0.00007752871,0.00012427097,0.00025367268,0.00021295901,0.00022697519,0.00018161332,0.00027666125,0.00023826599],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0054904018,0.0007289752,0.010840253,0.000292459,0.00012179557,0.0000705348,0.00023571789,0.0014718383,0.89865226,0.000105558094,0.00035291087,0.081637196],"study_design_scores_gemma":[0.0001979829,0.01190175,0.6923552,0.00002808782,0.0002697304,0.0005095386,0.00022243602,0.016873384,0.2758444,0.00019412226,0.0015499132,0.000053465246],"about_ca_topic_score_codex":0.00051933655,"about_ca_topic_score_gemma":0.0006539872,"teacher_disagreement_score":0.001768793,"about_ca_system_score_codex":0.00006080887,"about_ca_system_score_gemma":0.00012071339,"threshold_uncertainty_score":0.0059171915},"labels":[],"label_agreement":null},{"id":"W2031483392","doi":"10.1007/s10548-009-0088-3","title":"Not Just for Bimodal Neurons Anymore: The Contribution of Unimodal Neurons to Cortical Multisensory Processing","year":2009,"lang":"en","type":"article","venue":"Brain Topography","topic":"Multisensory perception and integration","field":"Psychology","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Multisensory integration; Neuroscience; Crossmodal; Stimulus modality; Stimulus (psychology); Neuron; Psychology; Population; Sensory system; Visual perception; Cognitive psychology; Perception; Medicine","score_opus":0.05467899641007246,"score_gpt":0.36302337621367603,"score_spread":0.3083443798036036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031483392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8481239,0.017007692,0.10658358,0.009196802,0.00043871967,0.000017827333,0.00033533358,0.0005469022,0.017749181],"genre_scores_gemma":[0.9902929,0.0014789954,0.0059247836,0.00032933283,0.00014047434,0.000008262152,0.00004183808,0.00006479811,0.0017186345],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99995136,0.0000053972626,0.0000016110505,0.000012898714,0.000014591201,0.000014082897],"domain_scores_gemma":[0.99975115,0.00011929037,0.000017440363,0.000040699684,0.00003440192,0.00003706777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024247105,0.0001794342,0.0001793514,0.00028941297,0.00025017365,0.00087038946,0.0003495549,0.00047506753,0.0037605695],"category_scores_gemma":[0.0016668093,0.00021426189,0.00018819375,0.00029965604,0.000650275,0.0024351696,0.0005983565,0.00075894914,0.00035860567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006176939,0.00005196335,0.018944256,0.00031425687,0.00016980492,0.0009958892,0.0008244331,0.0022814074,0.51836455,0.032597166,0.0056693,0.41916922],"study_design_scores_gemma":[0.00008977942,0.00041168372,0.5016244,0.00014958165,0.00031202397,0.0064186025,0.001462217,0.028109904,0.1076582,0.3363121,0.017274754,0.00017678473],"about_ca_topic_score_codex":0.00069424295,"about_ca_topic_score_gemma":0.0010862035,"teacher_disagreement_score":0.0037605695,"about_ca_system_score_codex":0.00016257589,"about_ca_system_score_gemma":0.00015631647,"threshold_uncertainty_score":0.012580395},"labels":[],"label_agreement":null},{"id":"W2033568672","doi":"10.1007/s10548-008-0043-8","title":"Mapping the Semantic Homunculus: A Functional and Behavioural Analysis of Overt Semantic Generation","year":2008,"lang":"en","type":"article","venue":"Brain Topography","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Neurology; Natural language processing; Artificial intelligence; Psychology; Cognitive science; Neuroscience","score_opus":0.05004284587808737,"score_gpt":0.2650503804636466,"score_spread":0.2150075345855592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033568672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9738288,0.00016292516,0.023445351,0.00016733434,0.00004616565,0.000035006444,0.00015242811,0.00009283126,0.002069219],"genre_scores_gemma":[0.99441504,0.00007826256,0.00475208,0.00004659644,0.000012636395,0.00002949138,0.000054905282,0.00005033071,0.0005605746],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998647,0.000037171107,0.000004187169,0.000039621227,0.000029507355,0.000024812733],"domain_scores_gemma":[0.9994696,0.00031825897,0.000058443376,0.00007002565,0.000026880247,0.00005673425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037474185,0.00023216869,0.0002603033,0.00041364817,0.00017777683,0.0005554818,0.0003220009,0.00039995095,0.0028807358],"category_scores_gemma":[0.0030833285,0.00019741057,0.00016626439,0.00027620318,0.00075471017,0.0010672437,0.00044620055,0.0006256039,0.00021997289],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007898688,0.00012524326,0.0076097217,0.00015375139,0.00005387801,0.00038676732,0.0011860185,0.001197051,0.91507244,0.005820143,0.0005925296,0.067012556],"study_design_scores_gemma":[0.00029366437,0.0011696288,0.6726095,0.00009174946,0.00017811832,0.0038402036,0.0024576471,0.05986574,0.1972157,0.05883527,0.0033045167,0.00013834849],"about_ca_topic_score_codex":0.00097229565,"about_ca_topic_score_gemma":0.0008431203,"teacher_disagreement_score":0.0028807358,"about_ca_system_score_codex":0.00016104933,"about_ca_system_score_gemma":0.00026678547,"threshold_uncertainty_score":0.009636998},"labels":[],"label_agreement":null},{"id":"W2046939865","doi":"10.1007/s10548-012-0222-5","title":"Behavioural and Magnetoencephalographic Evidence for the Interaction Between Semantic and Episodic Memory in Healthy Elderly Subjects","year":2012,"lang":"en","type":"article","venue":"Brain Topography","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Episodic memory; Semantic memory; Psychology; Cognitive psychology; Retrospective memory; Explicit memory; Cognition; Neuroscience","score_opus":0.10643587432952308,"score_gpt":0.3467509578319301,"score_spread":0.24031508350240705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046939865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991117,0.00012637327,0.0000993643,0.000023971335,0.000003727087,0.0000054435122,0.000073499126,0.0000031648092,0.00055274006],"genre_scores_gemma":[0.9995136,0.00006287011,0.000059063375,0.000025192872,0.0000108860095,0.000005206524,0.00007397306,0.0000018040068,0.00024740954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991596,0.000019114052,0.000011502084,0.000021965947,0.00001560018,0.000015868472],"domain_scores_gemma":[0.9994741,0.0002463645,0.00009581132,0.000053995376,0.00005942279,0.00007032512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003302346,0.00032452805,0.00036358903,0.00058886263,0.00028355932,0.00042090387,0.00019070368,0.00036242142,0.0019357557],"category_scores_gemma":[0.001528965,0.00024790844,0.00016741807,0.0003659778,0.0006324409,0.0003200135,0.00021115427,0.00023264514,0.00023435001],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01297221,0.0009856735,0.7122371,0.0002517513,0.0007908029,0.003925492,0.003832392,0.0004195761,0.23626404,0.00033319616,0.0004554551,0.027532369],"study_design_scores_gemma":[0.000029612147,0.00027699902,0.99816054,0.0000015766665,0.000044425295,0.00042152844,0.00018646418,0.00006237494,0.0006567741,0.00010737873,0.000048692582,0.0000036276385],"about_ca_topic_score_codex":0.0046833027,"about_ca_topic_score_gemma":0.006799782,"teacher_disagreement_score":0.0046833027,"about_ca_system_score_codex":0.00013418093,"about_ca_system_score_gemma":0.00015125207,"threshold_uncertainty_score":0.009312093},"labels":[],"label_agreement":null},{"id":"W2056091956","doi":"10.1007/s10548-009-0080-y","title":"The Gamma Oscillation: Master or Slave?","year":2009,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":142,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"National Institute on Deafness and Other Communication Disorders; National Institute of Mental Health","keywords":"Rhythm; Oscillation (cell signaling); Neuroscience; Amplitude; Electroencephalography; Task (project management); Computer science; Vigilance (psychology); Physics; Control theory (sociology); Psychology; Control (management); Biology; Artificial intelligence; Engineering; Acoustics","score_opus":0.03428716477187725,"score_gpt":0.2579903817681091,"score_spread":0.22370321699623186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056091956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6143798,0.025766382,0.24485178,0.03624799,0.00445694,0.00015197432,0.00059484155,0.0018320199,0.071718305],"genre_scores_gemma":[0.9815609,0.0030034739,0.009471816,0.0012959759,0.0012904346,0.000043030406,0.00006794094,0.00016422567,0.0031022206],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991291,0.00016410349,0.0000667231,0.00037801516,0.00013601896,0.00012610927],"domain_scores_gemma":[0.99757355,0.00096690614,0.00034851354,0.0005678472,0.0002502495,0.00029297892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002702632,0.00040454706,0.0010434829,0.00063466566,0.00047934588,0.0029852008,0.0010026844,0.0020436,0.0058971904],"category_scores_gemma":[0.012478142,0.0004989121,0.0004956505,0.00057266856,0.0034475583,0.005195213,0.0017363143,0.00188296,0.0011433286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092943915,0.00033657788,0.07334478,0.0010307545,0.0008122391,0.0022717586,0.0064313207,0.0042928616,0.14008246,0.23077959,0.015168421,0.52451986],"study_design_scores_gemma":[0.00034398996,0.0007305856,0.24829371,0.0006774133,0.0006044451,0.006598897,0.0033810863,0.03021292,0.01701242,0.6587065,0.0330846,0.00035338057],"about_ca_topic_score_codex":0.000358633,"about_ca_topic_score_gemma":0.0002900361,"teacher_disagreement_score":0.0058971904,"about_ca_system_score_codex":0.00031874137,"about_ca_system_score_gemma":0.0004928986,"threshold_uncertainty_score":0.019728065},"labels":[],"label_agreement":null},{"id":"W2060137295","doi":"10.1007/s10548-011-0212-z","title":"A Functional Neuroimaging Case Study of Meares–Irlen Syndrome/Visual Stress (MISViS)","year":2011,"lang":"en","type":"article","venue":"Brain Topography","topic":"Reading and Literacy Development","field":"Psychology","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Neuroimaging; Psychology; Voxel; Postcentral gyrus; Audiology; Somatosensory system; Medicine; Neuroscience","score_opus":0.04961237911203255,"score_gpt":0.3115727819101152,"score_spread":0.2619604027980827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060137295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98295456,0.0008268039,0.0021492532,0.0027919835,0.00020328963,0.00014414842,0.00033750667,0.00011375609,0.010478733],"genre_scores_gemma":[0.9974139,0.00018425795,0.00090973533,0.00030829018,0.00018494736,0.000015615526,0.000053286378,0.000020810745,0.0009092869],"study_design_codex":"case_report","study_design_gemma":"case_report","domain_scores_codex":[0.9994708,0.00004933372,0.00008100817,0.00016338214,0.000079702,0.00015585068],"domain_scores_gemma":[0.99797016,0.0007579441,0.00037792482,0.00016629891,0.00017169959,0.0005559041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004502381,0.0023444234,0.0007448959,0.0031247328,0.002661586,0.001278324,0.0019969426,0.0041174092,0.0033059353],"category_scores_gemma":[0.0033824972,0.0011412161,0.000985402,0.0015227355,0.0032413185,0.0018092393,0.0020177816,0.002630793,0.00084586616],"study_design_candidate":"case_report","study_design_consensus":"case_report","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019867673,0.000033556527,0.0026227757,0.0000090066305,0.0000055334567,0.99564785,0.00017628436,0.000030081972,0.00080931647,0.00012757222,0.000063498206,0.00045458565],"study_design_scores_gemma":[0.0000068235368,0.000054934466,0.004364751,0.000006102566,0.000009136389,0.9942578,0.0002067978,0.00012257647,0.00058677455,0.00023147892,0.00014360301,0.000009285365],"about_ca_topic_score_codex":0.00677633,"about_ca_topic_score_gemma":0.0060684267,"teacher_disagreement_score":0.00677633,"about_ca_system_score_codex":0.001528,"about_ca_system_score_gemma":0.0010291178,"threshold_uncertainty_score":0.013473809},"labels":[],"label_agreement":null},{"id":"W2061136402","doi":"10.1007/s10548-013-0291-0","title":"Individual Differences in Pain Sensitivity Vary as a Function of Precuneus Reactivity","year":2013,"lang":"en","type":"article","venue":"Brain Topography","topic":"Pain Mechanisms and Treatments","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Precuneus; Sensitivity (control systems); Neurology; Reactivity (psychology); Psychology; Function (biology); Pain medicine; Cognitive psychology; Medicine; Neuroscience; Psychiatry; Cognition; Biology; Pathology; Alternative medicine; Engineering; Anesthesiology","score_opus":0.018509374744739394,"score_gpt":0.23801774405211829,"score_spread":0.21950836930737888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061136402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998865,0.00015195512,0.0002856003,0.000022509754,0.0000061990736,0.000008291536,0.000064245396,0.000006898611,0.0005892623],"genre_scores_gemma":[0.99927014,0.00006478054,0.0001899242,0.000026949236,0.0000056721983,0.000010158966,0.00006671902,0.000009165947,0.0003565677],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998523,0.000036177862,0.000008709573,0.000045470515,0.000035924473,0.000021507303],"domain_scores_gemma":[0.99926,0.00029213112,0.0001998732,0.000115377734,0.00006174258,0.000070919916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026264493,0.00014987441,0.00028977823,0.0002983937,0.00013780514,0.00032690854,0.000117096075,0.00023767221,0.0013963085],"category_scores_gemma":[0.0015918851,0.00016265217,0.000117698226,0.0002651734,0.00029572076,0.00016579784,0.00017845804,0.00029728143,0.00015634466],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008353063,0.00043238705,0.38220036,0.0001220623,0.0007595877,0.00080409413,0.0017851497,0.0009965234,0.5573672,0.000658246,0.00062148145,0.04589981],"study_design_scores_gemma":[0.000009776814,0.0001837095,0.9970156,0.0000018738393,0.00001951018,0.00019912572,0.00006120605,0.00014916743,0.002149131,0.0000879983,0.00011906294,0.0000037848552],"about_ca_topic_score_codex":0.0010990556,"about_ca_topic_score_gemma":0.0019397654,"teacher_disagreement_score":0.0013963085,"about_ca_system_score_codex":0.00010323759,"about_ca_system_score_gemma":0.000084758736,"threshold_uncertainty_score":0.004671097},"labels":[],"label_agreement":null},{"id":"W2062781479","doi":"10.1007/s10548-006-0015-9","title":"Scalp Topography and Intracerebral Sources for ERPs Recorded During Auditory Target Detection","year":2006,"lang":"en","type":"article","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada; James S. McDonnell Foundation","keywords":"Psychology; P3b; Stimulus (psychology); Electroencephalography; Scalp; Audiology; Event-related potential; Parietal lobe; Posterior parietal cortex; N400; Laterality; Lateralization of brain function; Neuroscience; Cognitive psychology; Medicine; Anatomy","score_opus":0.008652403149411443,"score_gpt":0.2108486941586641,"score_spread":0.20219629100925268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062781479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9380222,0.00089244975,0.045853645,0.00022654729,0.00007916471,0.00024542602,0.0018615539,0.0002549205,0.012564016],"genre_scores_gemma":[0.9893427,0.00026362372,0.008146201,0.000078069315,0.00006034352,0.00011136957,0.00048216034,0.000080256745,0.0014352265],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998715,0.000027574848,0.000009243766,0.000032369746,0.00003339345,0.000025932499],"domain_scores_gemma":[0.9990785,0.00060608576,0.00008304226,0.00007328454,0.00011418366,0.000044850392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024674542,0.00036336484,0.00014952099,0.0005987912,0.00031302977,0.00038747187,0.00029591226,0.00030175634,0.00589728],"category_scores_gemma":[0.003125,0.00017757862,0.00025295056,0.00079980615,0.00038121358,0.0006937592,0.0003010968,0.00049489114,0.0007030975],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002020475,0.00017566314,0.015311826,0.00035065916,0.0000939359,0.0016012467,0.001012817,0.00051122066,0.9098697,0.0024347538,0.0009128132,0.06570494],"study_design_scores_gemma":[0.00015131399,0.00075173826,0.7848481,0.000043221364,0.0002793414,0.0058059646,0.00073252106,0.0051231426,0.19471678,0.004021947,0.0034786921,0.000047303303],"about_ca_topic_score_codex":0.0012490965,"about_ca_topic_score_gemma":0.0030139592,"teacher_disagreement_score":0.00589728,"about_ca_system_score_codex":0.00012630067,"about_ca_system_score_gemma":0.00014978755,"threshold_uncertainty_score":0.019728363},"labels":[],"label_agreement":null},{"id":"W2062807503","doi":"10.1007/s10548-005-4447-4","title":"Auditory Detection of Motion Velocity in Humans: a Magnetoencephalographic Study","year":2005,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Magnetoencephalography; Latency (audio); Brainstem; Neuroscience; Motion detection; Auditory cortex; Temporal cortex; Motion (physics); Audiology; Physics; Psychology; Electroencephalography; Computer science; Medicine","score_opus":0.024771485113128544,"score_gpt":0.2714677675949161,"score_spread":0.24669628248178754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062807503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986955,0.0009791394,0.0072627957,0.00027730613,0.00005030383,0.00006585895,0.00039344892,0.000043579286,0.003972557],"genre_scores_gemma":[0.9968149,0.0003135081,0.001781415,0.00014306695,0.00006848721,0.000018038238,0.00012864506,0.000016075826,0.00071599986],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999248,0.00001640109,0.0000045242973,0.000027146196,0.000014323074,0.000012782517],"domain_scores_gemma":[0.9996582,0.0002022406,0.00004032679,0.000041433705,0.000036406655,0.000021332778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028375888,0.00022838709,0.00017238375,0.00030331445,0.00019975539,0.00045677592,0.00020824197,0.00054760114,0.0029343322],"category_scores_gemma":[0.0019873609,0.00030961417,0.00017085322,0.00027314867,0.0007428819,0.00049988827,0.00023082431,0.00029235007,0.00053616444],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029525987,0.0002713782,0.040033855,0.0003518997,0.00019233303,0.0016232876,0.0021154487,0.0006411435,0.85835814,0.0019521795,0.0014408741,0.090066895],"study_design_scores_gemma":[0.0004002693,0.0012887119,0.9530443,0.000034707497,0.00019915117,0.006823784,0.00080633076,0.0025503105,0.027151812,0.0032959136,0.004359507,0.000045221328],"about_ca_topic_score_codex":0.0018230964,"about_ca_topic_score_gemma":0.0031671575,"teacher_disagreement_score":0.0029343322,"about_ca_system_score_codex":0.00008421596,"about_ca_system_score_gemma":0.00014016555,"threshold_uncertainty_score":0.009816349},"labels":[],"label_agreement":null},{"id":"W2065213307","doi":"10.1007/s10548-014-0362-x","title":"Hemodynamic Response Function (HRF) in Epilepsy Patients with Hippocampal Sclerosis and Focal Cortical Dysplasia","year":2014,"lang":"en","type":"article","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; U.S. Public Health Service","keywords":"Cortical dysplasia; Hippocampal sclerosis; Epilepsy; Neurology; Medicine; Neuroscience; Hippocampal formation; Tuberous sclerosis; Dysplasia; Multiple sclerosis; Hemodynamics; Cardiology; Psychology; Internal medicine; Pathology; Temporal lobe; Psychiatry","score_opus":0.011512996750709216,"score_gpt":0.20791843416220834,"score_spread":0.19640543741149913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065213307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99931455,0.0000641292,0.000051507788,0.000027634203,0.0000021151268,0.000002738697,0.00005943546,0.0000023415712,0.00047555874],"genre_scores_gemma":[0.99981576,0.00002659218,0.000021057724,0.000010958495,0.0000052321234,0.0000025294885,0.000056482306,0.0000010865488,0.000060318995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998703,0.00002680663,0.000021862645,0.000028428436,0.000020733412,0.000031898908],"domain_scores_gemma":[0.9995096,0.00020228574,0.00015047158,0.000026435635,0.00003642958,0.00007480498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018939804,0.00037333445,0.00038046823,0.0009232456,0.00036959033,0.0003014501,0.0001858731,0.00043906522,0.0019261469],"category_scores_gemma":[0.0018970402,0.00014780181,0.00019054681,0.00056642905,0.0004191096,0.0004195809,0.00024469759,0.00030801079,0.00017307878],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012350702,0.00013385064,0.97362375,0.000035060075,0.00009717108,0.009287365,0.00050722744,0.00026204088,0.0075071454,0.00010229824,0.0001526018,0.007056371],"study_design_scores_gemma":[0.00001308197,0.00014734028,0.9942872,0.0000025669337,0.00002068486,0.0048233676,0.00020390785,0.0001773751,0.00019831982,0.00007573752,0.000045681856,0.000004893692],"about_ca_topic_score_codex":0.0032992782,"about_ca_topic_score_gemma":0.003735736,"teacher_disagreement_score":0.0032992782,"about_ca_system_score_codex":0.00024469313,"about_ca_system_score_gemma":0.0002267924,"threshold_uncertainty_score":0.006560147},"labels":[],"label_agreement":null},{"id":"W2070328536","doi":"10.1007/s10548-013-0279-9","title":"MEG Measures of Covert Orienting and Gaze Processing in Children","year":2013,"lang":"en","type":"article","venue":"Brain Topography","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"Canadian Institutes of Health Research","keywords":"Magnetoencephalography; Gaze; Psychology; Temporoparietal junction; Stimulus (psychology); Neuroscience; Audiology; Cognition; Cognitive psychology; Electroencephalography; Prefrontal cortex; Medicine","score_opus":0.033990593483003706,"score_gpt":0.2768114498102395,"score_spread":0.24282085632723577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070328536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973621,0.00015662597,0.0006084614,0.000058569844,0.00000733054,0.000008313881,0.0006280144,0.000034600893,0.0011359763],"genre_scores_gemma":[0.99803895,0.00017783532,0.0007718161,0.000029992403,0.000010387818,0.000034202556,0.00029799712,0.000028375609,0.0006104596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973947,0.000033141594,0.000025705955,0.00008621719,0.000064914704,0.00005046863],"domain_scores_gemma":[0.9989354,0.00044265637,0.0002606419,0.00008870938,0.00018181944,0.000090770896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003567915,0.0004530987,0.00037948982,0.0008164175,0.00018918885,0.0005221014,0.000233995,0.00032621739,0.0021441674],"category_scores_gemma":[0.0032658095,0.0003137968,0.0002645396,0.00054299796,0.000639932,0.0005347902,0.00047843816,0.0004311401,0.00034032308],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014898786,0.00019475604,0.61086255,0.00041315146,0.00017668138,0.0019745764,0.0053553856,0.00073084974,0.32356927,0.0009508526,0.0012719457,0.05301008],"study_design_scores_gemma":[0.000013394638,0.00014720317,0.98929965,0.000011632469,0.000036240166,0.0007875489,0.00053470465,0.00019550188,0.008519401,0.00014818957,0.00029563066,0.00001083794],"about_ca_topic_score_codex":0.0057536745,"about_ca_topic_score_gemma":0.0065006227,"teacher_disagreement_score":0.0057536745,"about_ca_system_score_codex":0.0003264277,"about_ca_system_score_gemma":0.00029616823,"threshold_uncertainty_score":0.011440337},"labels":[],"label_agreement":null},{"id":"W2074367570","doi":"10.1007/s10548-007-0033-2","title":"Neuro-Physiological Adaptations Associated with Cross-Education of Strength","year":2007,"lang":"en","type":"article","venue":"Brain Topography","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":142,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Neurology; Psychology; Physical medicine and rehabilitation; Medicine","score_opus":0.013650586512480495,"score_gpt":0.24971969138177785,"score_spread":0.23606910486929736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074367570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989139,0.00007526998,0.00023035423,0.000021903039,0.000006474884,0.000015531134,0.000040004685,0.000006073449,0.0006906335],"genre_scores_gemma":[0.9989542,0.00005535388,0.0001133577,0.000022038694,0.0000060058132,0.000016779606,0.00005722495,0.000002238764,0.0007728905],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998789,0.000024213361,0.000009168767,0.000029044286,0.000021663936,0.000037004866],"domain_scores_gemma":[0.99951804,0.00013483065,0.00011295839,0.000044343862,0.00008754257,0.00010229007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031982866,0.00027179962,0.00020856527,0.00034458222,0.00019456957,0.00022820578,0.00011916837,0.00027627035,0.0033052834],"category_scores_gemma":[0.0011121257,0.00013276009,0.00014679042,0.00024185459,0.00023676727,0.00016468453,0.00040747292,0.00047096267,0.00030534514],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007520352,0.0053944723,0.3863338,0.00036059562,0.0003633032,0.005113785,0.0016075816,0.001928971,0.50504094,0.00037827416,0.00065784587,0.085300155],"study_design_scores_gemma":[0.000013126451,0.0012345234,0.99306035,0.0000048300617,0.000017393073,0.00050491426,0.00015292474,0.00023379385,0.0045752837,0.000054704087,0.00014456108,0.000003643624],"about_ca_topic_score_codex":0.0012646321,"about_ca_topic_score_gemma":0.0013251631,"teacher_disagreement_score":0.0033052834,"about_ca_system_score_codex":0.00014762422,"about_ca_system_score_gemma":0.00012329272,"threshold_uncertainty_score":0.011057258},"labels":[],"label_agreement":null},{"id":"W2075921608","doi":"10.1007/s10548-013-0321-y","title":"Scalp EEG is not a Blur: It Can See High Frequency Oscillations Although Their Generators are Small","year":2013,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":167,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Scalp; Electroencephalography; Stereoelectroencephalography; Ictal; Neuroscience; Medicine; Anatomy; Psychology","score_opus":0.028818260278263813,"score_gpt":0.22550919082831722,"score_spread":0.1966909305500534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075921608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50525546,0.007035686,0.39474848,0.0069351285,0.002235592,0.00020099759,0.0016591969,0.0037149857,0.07821456],"genre_scores_gemma":[0.9626657,0.0024964393,0.02629556,0.00097576145,0.0006710094,0.000035815097,0.0002532013,0.00045881415,0.0061477623],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987507,0.000028714483,0.0000063762595,0.000026205917,0.00005072636,0.000012916995],"domain_scores_gemma":[0.99951696,0.00021316904,0.000050616683,0.000078914454,0.00009512866,0.00004517583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017513182,0.0003524124,0.00019726343,0.00046964534,0.00022760105,0.0007600623,0.00019328669,0.00046337568,0.0046048355],"category_scores_gemma":[0.0024698526,0.00016504641,0.00015043152,0.00058031647,0.00055704825,0.0013265515,0.0003699185,0.00054674246,0.00080502237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055249286,0.000047048678,0.009114077,0.0005710701,0.00020781302,0.0021228557,0.0006139293,0.001030605,0.5745437,0.007411756,0.012614058,0.3911705],"study_design_scores_gemma":[0.00017683352,0.001437177,0.4818876,0.0003837226,0.0007054357,0.04192783,0.0028955278,0.019308802,0.22329113,0.12911052,0.09860969,0.00026565537],"about_ca_topic_score_codex":0.00043918387,"about_ca_topic_score_gemma":0.00049092405,"teacher_disagreement_score":0.0046048355,"about_ca_system_score_codex":0.00008040949,"about_ca_system_score_gemma":0.000097957316,"threshold_uncertainty_score":0.015404761},"labels":[],"label_agreement":null},{"id":"W2078668283","doi":"10.1007/s10548-012-0270-x","title":"Morphometric Correlation of Impulsivity in Medial Prefrontal Cortex","year":2012,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":156,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; University of Toronto; Ontario Brain Institute; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Impulsivity; Prefrontal cortex; Psychology; Barratt Impulsiveness Scale; Dorsolateral prefrontal cortex; Neuroscience; Voxel-based morphometry; Ventral striatum; Pathological; Striatum; Developmental psychology; Cognition; Medicine; Internal medicine; White matter; Dopamine; Magnetic resonance imaging","score_opus":0.0707426851496801,"score_gpt":0.3425925847449461,"score_spread":0.27184989959526595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078668283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998005,0.000087926324,0.0011909265,0.000020348803,0.0000015887273,0.0000033675594,0.00008907016,0.000017732335,0.000584208],"genre_scores_gemma":[0.9992816,0.000029123625,0.00039088164,0.000003904644,0.0000035515245,0.0000025731,0.000036615846,0.000005868377,0.0002458838],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999012,0.000018171437,0.000008922292,0.000030957766,0.000027723858,0.00001293723],"domain_scores_gemma":[0.99917966,0.0002240141,0.00029898912,0.000107503125,0.00010933308,0.00008045464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029143813,0.00014932096,0.00014279058,0.0012629433,0.0002069897,0.0003969135,0.00023858175,0.00017296067,0.0026772297],"category_scores_gemma":[0.0012395787,0.00018936988,0.00015615557,0.0006241231,0.0003088288,0.00036128823,0.00035090046,0.00023654616,0.00016410313],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008801739,0.00012565726,0.66271955,0.00009811466,0.00036632002,0.00091753487,0.00073762564,0.0012020892,0.28865996,0.0032982482,0.00027613257,0.040718608],"study_design_scores_gemma":[0.000003494406,0.000033536493,0.99413425,0.0000021894814,0.000018834402,0.0012654953,0.00010067835,0.00076534,0.0031351047,0.00044703984,0.0000885602,0.0000055039404],"about_ca_topic_score_codex":0.0017871795,"about_ca_topic_score_gemma":0.0023691154,"teacher_disagreement_score":0.0026772297,"about_ca_system_score_codex":0.00020737076,"about_ca_system_score_gemma":0.00015833895,"threshold_uncertainty_score":0.0089562535},"labels":[],"label_agreement":null},{"id":"W2080108817","doi":"10.1007/s10548-011-0177-y","title":"Cortical Plasticity in 4-Month-Old Infants: Specific Effects of Experience with Musical Timbres","year":2011,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Baycrest Hospital","funders":"Canadian Institutes of Health Research; McMaster University","keywords":"Guitar; Timbre; Melody; Audiology; Psychology; Pitch (Music); Auditory feedback; Communication; Acoustics; Musical; Art; Neuroscience; Medicine; Visual arts; Physics","score_opus":0.0284462231082442,"score_gpt":0.2501522490144884,"score_spread":0.2217060259062442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080108817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99893016,0.00020159147,0.00033680996,0.000021217676,0.000013987897,0.0000064991414,0.00008087236,0.000015349797,0.00039350195],"genre_scores_gemma":[0.9978538,0.00018817552,0.00040340258,0.000020310805,0.000011570695,0.000038184553,0.00013727372,0.000022513015,0.0013247475],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99976677,0.000031754505,0.000016853035,0.000056058187,0.000048759965,0.000079819016],"domain_scores_gemma":[0.9992323,0.0003023189,0.00013914146,0.00007784388,0.0000952347,0.00015309501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026940004,0.00032283732,0.0008023152,0.00049227034,0.00021877584,0.00035731503,0.0003575984,0.00040730744,0.0026809832],"category_scores_gemma":[0.002080048,0.00028739253,0.0002832556,0.00022951873,0.0007967816,0.0004404698,0.0007239436,0.00088456424,0.00028442926],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028524094,0.00014122599,0.0066861315,0.00009514644,0.000029478615,0.0010324232,0.00053501374,0.00007334258,0.97758555,0.00013620988,0.00012484026,0.010708269],"study_design_scores_gemma":[0.0001100681,0.0033485184,0.54409313,0.000036688474,0.00023981956,0.0032843864,0.0018961206,0.0010071627,0.4439254,0.0006007128,0.0014083692,0.000049534137],"about_ca_topic_score_codex":0.0011897314,"about_ca_topic_score_gemma":0.0015904814,"teacher_disagreement_score":0.0026809832,"about_ca_system_score_codex":0.0001980973,"about_ca_system_score_gemma":0.00019842642,"threshold_uncertainty_score":0.0089687705},"labels":[],"label_agreement":null},{"id":"W2081409437","doi":"10.1007/s10548-011-0192-z","title":"The Development of Face Recognition; Hippocampal and Frontal Lobe Contributions Determined with MEG","year":2011,"lang":"en","type":"article","venue":"Brain Topography","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Mental Health Research Canada; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Magnetoencephalography; Psychology; Hippocampal formation; Recognition memory; Facial recognition system; Frontal lobe; Neuroscience; Hippocampus; Repetition (rhetorical device); Audiology; Developmental psychology; Cognitive psychology; Cognition; Electroencephalography; Pattern recognition (psychology); Medicine","score_opus":0.05052058025671545,"score_gpt":0.2583411154077773,"score_spread":0.20782053515106186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081409437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97609836,0.00094468874,0.013429104,0.00031231894,0.00004466372,0.000025849971,0.00090039463,0.00015872871,0.008085913],"genre_scores_gemma":[0.9948933,0.0003306492,0.0027014678,0.000049707545,0.000018001043,0.00002477855,0.00015007846,0.000051139745,0.0017808803],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997557,0.000041486695,0.000012411315,0.000086329164,0.00006767413,0.00003639528],"domain_scores_gemma":[0.9989078,0.00043435863,0.00017220117,0.00014620212,0.00024769714,0.00009180874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064737763,0.00026435274,0.0002556915,0.0009462143,0.00021160209,0.0009503949,0.00045337153,0.0005164088,0.0021802771],"category_scores_gemma":[0.0024764722,0.00033848744,0.00022804156,0.0003341763,0.00081635104,0.0010012897,0.0004960697,0.0006822164,0.0006257074],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007752633,0.00013424634,0.12246951,0.00010227826,0.00006717917,0.0016204739,0.0008517399,0.0011857614,0.746957,0.0075016795,0.0012446159,0.11709032],"study_design_scores_gemma":[0.000015085139,0.00016922444,0.8587508,0.00003308607,0.00004151364,0.0014553547,0.00039207138,0.0029131658,0.13013555,0.0021628607,0.003908156,0.00002306841],"about_ca_topic_score_codex":0.0037262621,"about_ca_topic_score_gemma":0.0042577353,"teacher_disagreement_score":0.0037262621,"about_ca_system_score_codex":0.00047139986,"about_ca_system_score_gemma":0.00045443157,"threshold_uncertainty_score":0.0074091554},"labels":[],"label_agreement":null},{"id":"W2082541234","doi":"10.1007/s10548-011-0181-2","title":"Use It or Lose It? Lessons Learned from the Developing Brains of Children Who are Deaf and Use Cochlear Implants to Hear","year":2011,"lang":"en","type":"review","venue":"Brain Topography","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":85,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children; SickKids Foundation","funders":"","keywords":"Auditory cortex; Audiology; Auditory system; Cochlear implant; Neuroscience; Psychology; Auditory neuropathy; Brainstem; Hearing loss; Medicine","score_opus":0.32183908709265097,"score_gpt":0.39373897712451333,"score_spread":0.07189989003186237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082541234","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001151042,0.9987619,0.000099216275,0.00043143338,0.00012392034,0.0000011533043,0.000008651301,0.0000028764923,0.0004556716],"genre_scores_gemma":[0.0005869308,0.99852115,0.00015732627,0.00021786171,0.0001729576,0.000002439363,0.000011029943,0.0000011146223,0.0003292385],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99988556,0.00001852112,0.00001993472,0.000029556835,0.000034248165,0.000012250541],"domain_scores_gemma":[0.9995714,0.000258972,0.000032220596,0.000010143921,0.00009558372,0.00003170346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008155234,0.0010325611,0.0013240278,0.001538873,0.00028609208,0.0011113721,0.0009211259,0.001523032,0.0018098302],"category_scores_gemma":[0.0010910648,0.00026115123,0.00032977146,0.0015541362,0.0015118726,0.0025452625,0.00082517765,0.0022766436,0.0010427982],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056514928,0.000036294496,0.0003157065,0.0070260484,0.00005952742,0.0003599548,0.00018999825,0.0002678955,0.0010998007,0.004166013,0.024789315,0.96163297],"study_design_scores_gemma":[0.000022332544,0.00008102754,0.00308799,0.0050913612,0.000105365245,0.0040779915,0.000563676,0.0001215078,0.00072516507,0.0107940575,0.97528195,0.00004759748],"about_ca_topic_score_codex":0.003357258,"about_ca_topic_score_gemma":0.0065767146,"teacher_disagreement_score":0.003357258,"about_ca_system_score_codex":0.00078891666,"about_ca_system_score_gemma":0.0013264916,"threshold_uncertainty_score":0.006675422},"labels":[],"label_agreement":null},{"id":"W2088506445","doi":"10.1007/s10548-011-0207-9","title":"Discriminating Male and Female Voices: Differentiating Pitch and Gender","year":2011,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"Fondation pour la Recherche Médicale","keywords":"Psychology; Salient; Audiology; Developmental psychology; Medicine; Computer science; Artificial intelligence","score_opus":0.10114768727322965,"score_gpt":0.28650567957127776,"score_spread":0.1853579922980481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088506445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98380405,0.0003688232,0.008217607,0.00029771836,0.000057458696,0.000037791237,0.00017435853,0.00004519207,0.006996986],"genre_scores_gemma":[0.99711347,0.00013841779,0.0015522938,0.00010195459,0.000026570282,0.000010370607,0.00004852669,0.000016496762,0.0009917783],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999006,0.000017076794,0.0000047880735,0.000025811856,0.0000255442,0.000026203437],"domain_scores_gemma":[0.99971014,0.00015387597,0.000047943377,0.000015972446,0.000035846817,0.0000361841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029864555,0.00019241693,0.00018803842,0.00029483088,0.00018082178,0.000746329,0.00018717085,0.0005108195,0.0046804273],"category_scores_gemma":[0.0019062997,0.00015993466,0.000127072,0.00017696436,0.00041250818,0.0007671703,0.00034860126,0.00027018198,0.0005887867],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083403155,0.000049997674,0.020094173,0.00010150298,0.00004087098,0.00038552744,0.00077058555,0.00014714191,0.89323926,0.0008579222,0.00040892774,0.08307006],"study_design_scores_gemma":[0.00012248977,0.00057696836,0.8999606,0.000049324153,0.00010831582,0.004246511,0.0023383691,0.004321934,0.08075519,0.0054858583,0.001999667,0.00003483917],"about_ca_topic_score_codex":0.00059552456,"about_ca_topic_score_gemma":0.0012745054,"teacher_disagreement_score":0.0046804273,"about_ca_system_score_codex":0.00009935849,"about_ca_system_score_gemma":0.00014093361,"threshold_uncertainty_score":0.015657604},"labels":[],"label_agreement":null},{"id":"W2094267229","doi":"10.1007/s10548-011-0171-4","title":"Converging Evidence for the Advantage of Dynamic Facial Expressions","year":2011,"lang":"en","type":"article","venue":"Brain Topography","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":129,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; SickKids Foundation; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Neuroimaging; Psychology; Facial expression; Cognition; Cognitive psychology; Fusiform face area; Face perception; Neuroscience; Communication; Perception","score_opus":0.2011208268107042,"score_gpt":0.36899843663837695,"score_spread":0.16787760982767275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094267229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9382884,0.003931757,0.01706204,0.0011740095,0.00016643383,0.00003059192,0.0005910183,0.00015591072,0.038599815],"genre_scores_gemma":[0.99043125,0.0019289441,0.004302827,0.00028886602,0.000082556704,0.000030711693,0.0002743735,0.00007484898,0.0025856954],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996567,0.00003071353,0.000016596983,0.00012233433,0.00013444807,0.00003923438],"domain_scores_gemma":[0.99738973,0.0013178098,0.00040674946,0.00047046514,0.00028822053,0.00012705133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006991186,0.0003449285,0.00039118814,0.000648098,0.00024870152,0.0010404885,0.00046686138,0.00046659357,0.0074353795],"category_scores_gemma":[0.004153101,0.0002522454,0.00025270277,0.0003635133,0.00081434957,0.001105613,0.0007390851,0.00062074704,0.0006785493],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008331407,0.00007102358,0.013657736,0.0003141577,0.00015260866,0.00051161175,0.00039635293,0.00038016852,0.8774585,0.00456291,0.00088482455,0.10077687],"study_design_scores_gemma":[0.000056304867,0.00036340277,0.92947453,0.00006151728,0.00013422956,0.003688525,0.00044025364,0.0012664737,0.049530666,0.010704186,0.004237677,0.000042363958],"about_ca_topic_score_codex":0.00090599497,"about_ca_topic_score_gemma":0.00088620756,"teacher_disagreement_score":0.0074353795,"about_ca_system_score_codex":0.00021415896,"about_ca_system_score_gemma":0.00020635694,"threshold_uncertainty_score":0.024873853},"labels":[],"label_agreement":null},{"id":"W2103513921","doi":"10.1007/s10548-012-0217-2","title":"Techniques for Detection and Localization of Weak Hippocampal and Medial Frontal Sources Using Beamformers in MEG","year":2012,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Baycrest Hospital; Hospital for Sick Children","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Magnetoencephalography; Subtraction; Computer science; Artificial intelligence; Pattern recognition (psychology); Hippocampal formation; Elementary cognitive task; Speech recognition; Cognition; Neuroscience; Electroencephalography; Psychology; Mathematics","score_opus":0.019034459511392286,"score_gpt":0.2554903495839094,"score_spread":0.23645589007251713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103513921","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051277657,0.00044435152,0.9932721,0.00014831754,0.000028065566,0.00004239088,0.000109932174,0.00033091923,0.000496279],"genre_scores_gemma":[0.06973905,0.00139521,0.9271729,0.00012542923,0.00008333266,0.00020257109,0.00016211807,0.00013568497,0.0009837626],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999736,0.00008216641,0.000020875217,0.000047185866,0.0000889885,0.00002475138],"domain_scores_gemma":[0.99888927,0.0006943673,0.00008194741,0.00014573822,0.00015906522,0.000029577777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012351902,0.00080181035,0.00046492225,0.0009984087,0.0003523143,0.000842703,0.00083608873,0.0008895539,0.0034344199],"category_scores_gemma":[0.0037281183,0.00081848365,0.00059195317,0.0011046707,0.0006927355,0.0014016619,0.00090711575,0.0015087891,0.0016655901],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025697408,0.000066909844,0.0017827223,0.00039722113,0.000099694895,0.00014458648,0.00025264156,0.0050474997,0.6005287,0.0076549323,0.002162099,0.38160598],"study_design_scores_gemma":[0.00037227827,0.0005811517,0.038758647,0.00027101338,0.00047363082,0.004434589,0.00047628515,0.21172287,0.6462802,0.06459078,0.031753644,0.00028489146],"about_ca_topic_score_codex":0.00081025757,"about_ca_topic_score_gemma":0.0023172186,"teacher_disagreement_score":0.0034344199,"about_ca_system_score_codex":0.00018631261,"about_ca_system_score_gemma":0.00041829975,"threshold_uncertainty_score":0.011489272},"labels":[],"label_agreement":null},{"id":"W2118000934","doi":"10.1007/s10548-009-0099-0","title":"Instrumental Music Influences Recognition of Emotional Body Language","year":2009,"lang":"en","type":"article","venue":"Brain Topography","topic":"Multisensory perception and integration","field":"Psychology","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; International Laboratory for Brain, Music and Sound Research","funders":"","keywords":"Psychology; Sadness; Categorization; Stimulus modality; Happiness; Cognitive psychology; Crossmodal; Stimulus (psychology); Modality (human–computer interaction); Modalities; Everyday life; Sensory system; Perception; Visual perception; Linguistics; Social psychology; Computer science; Anger","score_opus":0.038282433037916626,"score_gpt":0.3324384060171088,"score_spread":0.29415597297919216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118000934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989606,0.00011004914,0.00029412168,0.000010028763,0.0000047985045,0.0000026019866,0.000009633252,0.000008438199,0.0005997339],"genre_scores_gemma":[0.9991885,0.00007354733,0.00028117426,0.000020889069,0.0000041984313,0.0000060605303,0.000022651786,0.000008501795,0.00039455472],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99988115,0.00003185247,0.000004989093,0.00003151502,0.000028934044,0.000021544465],"domain_scores_gemma":[0.99964225,0.00017156986,0.000074751726,0.000024587533,0.00002744895,0.00005945739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014714793,0.00018140771,0.00016334036,0.0001615763,0.000071981594,0.00032686646,0.000092415576,0.0001424904,0.0025444345],"category_scores_gemma":[0.0015645288,0.0001257678,0.00010737312,0.000058282374,0.00030459414,0.00018522116,0.00036240416,0.00016315031,0.00021997896],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012858823,0.00006310716,0.0051506194,0.000053773867,0.000023594108,0.00012603827,0.00018393618,0.00006464117,0.9801543,0.00004209536,0.000054897046,0.012797281],"study_design_scores_gemma":[0.00011628,0.0019933472,0.8742791,0.000015341313,0.00008310094,0.0006163123,0.0005163421,0.0016825438,0.1195922,0.00047318725,0.00060970883,0.000022617834],"about_ca_topic_score_codex":0.00033293993,"about_ca_topic_score_gemma":0.0003588582,"teacher_disagreement_score":0.0025444345,"about_ca_system_score_codex":0.000092936716,"about_ca_system_score_gemma":0.000068270485,"threshold_uncertainty_score":0.0085119605},"labels":[],"label_agreement":null},{"id":"W2126083568","doi":"10.1007/s10548-011-0172-3","title":"Electrophysiological Explorations of the Cause and Effect of Inhibition of Return in a Cue–Target Paradigm","year":2011,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Inhibition of return; Facilitation; Cued speech; Neuroscience; Psychology; Stimulus onset asynchrony; Posterior parietal cortex; Stimulus (psychology); Electrophysiology; Prefrontal cortex; Electroencephalography; Cognition; Cognitive psychology","score_opus":0.09859448873511474,"score_gpt":0.3168064478838694,"score_spread":0.2182119591487547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126083568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918391,0.00048650842,0.0051246304,0.00008935105,0.000032466804,0.00009819538,0.00013898706,0.000046475252,0.0021442424],"genre_scores_gemma":[0.997416,0.00030067662,0.0014064147,0.00007160956,0.00002461311,0.000057147132,0.000069398084,0.00003486385,0.0006191977],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997807,0.000045415083,0.000021919723,0.00003854122,0.00006064004,0.00005278149],"domain_scores_gemma":[0.99895763,0.0006409853,0.00015381147,0.00007755072,0.000057434816,0.000112532376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051736686,0.00044979068,0.0003997137,0.00033042856,0.00025707408,0.00029444098,0.00055582233,0.000547834,0.0015754505],"category_scores_gemma":[0.0025517207,0.00026185805,0.0002724802,0.00027758654,0.000605765,0.000429668,0.00033913768,0.0010125113,0.0001528476],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013452276,0.00008231022,0.00078610086,0.00005296976,0.000016323484,0.00010887176,0.000048926642,0.000091903494,0.99456525,0.00036433843,0.000021247466,0.002516529],"study_design_scores_gemma":[0.00033036972,0.0031657035,0.21098809,0.000037604164,0.00020607297,0.0015266064,0.00017857701,0.010334723,0.7701378,0.001858967,0.0011992336,0.000036177058],"about_ca_topic_score_codex":0.0014478333,"about_ca_topic_score_gemma":0.0011349504,"teacher_disagreement_score":0.0015754505,"about_ca_system_score_codex":0.0002784724,"about_ca_system_score_gemma":0.0003905579,"threshold_uncertainty_score":0.005270362},"labels":[],"label_agreement":null},{"id":"W2146945062","doi":"10.1007/s10548-008-0069-y","title":"Correspondence of Visual Evoked Potentials with FMRI Signals in Human Visual Cortex","year":2008,"lang":"en","type":"article","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Capital District Health Authority; Izaak Walton Killam Health Centre; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Functional magnetic resonance imaging; Electroencephalography; EEG-fMRI; Visual cortex; Psychology; Neuroscience; Neuroimaging; Brain mapping; Visual perception; Perception","score_opus":0.02682142628448336,"score_gpt":0.2906657718048895,"score_spread":0.26384434552040614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146945062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94969773,0.0013758733,0.03245549,0.00034079474,0.00006260939,0.00012528885,0.00078994996,0.00018234148,0.014969986],"genre_scores_gemma":[0.99638724,0.00018549709,0.00231676,0.0000558263,0.000046367597,0.000034237673,0.00014370048,0.000033122386,0.00079720735],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998049,0.00007484364,0.000010595182,0.000046660254,0.00003749933,0.00002539549],"domain_scores_gemma":[0.9983089,0.0012007876,0.00016849586,0.00010974026,0.00016213748,0.00005001405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040663566,0.00020022679,0.00013141092,0.0007271081,0.00023187448,0.00062138686,0.00022965818,0.0004895787,0.0038736353],"category_scores_gemma":[0.00809331,0.00020579694,0.00014372905,0.00072244834,0.00030387074,0.0007254456,0.0002786894,0.00035591942,0.0005633284],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022701973,0.0001543032,0.048465446,0.0003871561,0.00017070524,0.0017310317,0.00085819734,0.003395159,0.84028846,0.005945804,0.0014159002,0.094917774],"study_design_scores_gemma":[0.00009302674,0.00036926896,0.9052581,0.000039456772,0.00009722657,0.0062893536,0.0003335227,0.009000336,0.06679994,0.00997418,0.001713304,0.000032308395],"about_ca_topic_score_codex":0.0007690837,"about_ca_topic_score_gemma":0.0012842837,"teacher_disagreement_score":0.0038736353,"about_ca_system_score_codex":0.0001405711,"about_ca_system_score_gemma":0.0001771413,"threshold_uncertainty_score":0.012958646},"labels":[],"label_agreement":null},{"id":"W2148582387","doi":"10.1007/s10548-012-0274-6","title":"Effects of Forward Model Errors on EEG Source Localization","year":2013,"lang":"en","type":"article","venue":"Brain Topography","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":276,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; U.S. Public Health Service; National Institutes of Health","keywords":"Head (geology); Electroencephalography; Computer science; Artificial intelligence; Physics; Pattern recognition (psychology); Geology; Psychology","score_opus":0.006712429110947297,"score_gpt":0.2665869144812595,"score_spread":0.2598744853703122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148582387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6010374,0.0012753254,0.38846785,0.00093476434,0.00058013696,0.00026287202,0.001016495,0.0034394572,0.0029856714],"genre_scores_gemma":[0.92342025,0.00034329444,0.071489334,0.00023903794,0.00002955743,0.000227348,0.0008822658,0.0010411864,0.0023276228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996086,0.0017587887,0.0005118414,0.00084263884,0.0005701672,0.00023046529],"domain_scores_gemma":[0.97006667,0.024314653,0.001175421,0.0026820193,0.0014978952,0.00026331397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076607866,0.0018932067,0.0010074797,0.0005728948,0.0007358207,0.0011872347,0.0008789846,0.0013550326,0.002897719],"category_scores_gemma":[0.05088155,0.0015207502,0.001065429,0.0007368192,0.0008795103,0.0018312895,0.0018572331,0.0019814463,0.00092404697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027389203,0.00020592133,0.008578726,0.0004862136,0.00033926644,0.00082300376,0.0011802495,0.8943294,0.028867757,0.0030101514,0.0013433413,0.058096968],"study_design_scores_gemma":[0.00024001638,0.00060770166,0.009423145,0.00016681703,0.000318972,0.0008897065,0.00037745383,0.9238952,0.05625079,0.0040072757,0.0036608074,0.00016216315],"about_ca_topic_score_codex":0.013077504,"about_ca_topic_score_gemma":0.009812546,"teacher_disagreement_score":0.013077504,"about_ca_system_score_codex":0.0008985594,"about_ca_system_score_gemma":0.0014436789,"threshold_uncertainty_score":0.040514648},"labels":[],"label_agreement":null},{"id":"W2175311492","doi":"10.1007/s10548-015-0457-z","title":"Asymmetric Weighting to Optimize Regional Sensitivity in Combined fMRI-MEG Maps","year":2015,"lang":"en","type":"article","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Surrey Memorial Hospital; Simon Fraser University; Izaak Walton Killam Health Centre; Dalhousie University","funders":"","keywords":"Functional magnetic resonance imaging; Magnetoencephalography; Neuroimaging; Sensitivity (control systems); Computer science; Brain mapping; Pattern recognition (psychology); Neuroscience; Brain activity and meditation; Artificial intelligence; Psychology; Electroencephalography","score_opus":0.05758465940005098,"score_gpt":0.2719072987735078,"score_spread":0.2143226393734568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175311492","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08806279,0.00046089434,0.9068231,0.00030581438,0.00007667184,0.00013559383,0.00030374457,0.0009435638,0.002887831],"genre_scores_gemma":[0.4412572,0.00045809103,0.5521082,0.0002724279,0.000082455364,0.00031996716,0.0004443853,0.0015810878,0.0034761203],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994536,0.00018506596,0.000059772134,0.00008441433,0.00012708704,0.00008995685],"domain_scores_gemma":[0.9987153,0.0006031343,0.00011127243,0.0002416387,0.0002673016,0.00006130425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018341823,0.0009146437,0.0006585368,0.0010293812,0.0005079921,0.0015431092,0.00069853786,0.0010641256,0.0041238507],"category_scores_gemma":[0.010899634,0.00057128,0.0007094175,0.0014462831,0.0004833003,0.0012858112,0.0012467104,0.00089071796,0.00080814253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012190813,0.00039417652,0.0051197116,0.000663757,0.00044176506,0.00033749934,0.00056226755,0.07088254,0.54872096,0.030224044,0.0057648406,0.33566925],"study_design_scores_gemma":[0.00021171899,0.00055931427,0.01973142,0.00014547721,0.0009576302,0.0016759845,0.00028926713,0.53399706,0.361206,0.059498794,0.021552447,0.00017489144],"about_ca_topic_score_codex":0.0017203898,"about_ca_topic_score_gemma":0.0039022777,"teacher_disagreement_score":0.0041238507,"about_ca_system_score_codex":0.00045203054,"about_ca_system_score_gemma":0.0010434735,"threshold_uncertainty_score":0.013795614},"labels":[],"label_agreement":null},{"id":"W2265970145","doi":"10.1007/s10548-016-0471-9","title":"Detection and Magnetic Source Imaging of Fast Oscillations (40–160 Hz) Recorded with Magnetoencephalography in Focal Epilepsy Patients","year":2016,"lang":"en","type":"article","venue":"Brain Topography","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; École de Technologie Supérieure; Université de Montréal; Concordia University; Hôpital du Sacré-Cœur de Montréal; Montreal Neurological Institute and Hospital","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Epilepsy Society; Savoy Foundation; American Epilepsy Society","keywords":"Magnetoencephalography; Electroencephalography; Epilepsy; False positive paradox; Concordance; Scalp; Neuroscience; Gold standard (test); Brain activity and meditation; Magnetic resonance imaging; Medicine; Radiology; Psychology; Computer science; Artificial intelligence; Internal medicine; Anatomy","score_opus":0.005543990137364784,"score_gpt":0.2260196477177675,"score_spread":0.22047565758040272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2265970145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998041,0.00017267061,0.0014241013,0.00002539545,0.0000021358933,0.000011419858,0.000089939436,0.000014027375,0.00021932548],"genre_scores_gemma":[0.9988716,0.00007329802,0.0008574111,0.000009526131,0.0000068369727,0.00001046168,0.00010798336,0.0000029370362,0.00005996061],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987066,0.000033166812,0.000019404384,0.000033825163,0.000025141835,0.000017698889],"domain_scores_gemma":[0.9997167,0.000121819845,0.00008012076,0.000021171982,0.000032688335,0.00002755197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002955908,0.0003709221,0.00022054095,0.0010723129,0.00010583157,0.00023307384,0.0001577786,0.00033089038,0.00044175689],"category_scores_gemma":[0.0016266411,0.00011633936,0.00015716853,0.00022522062,0.00020398284,0.00031680038,0.00022296331,0.000113202856,0.000115455354],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001333505,0.00009795086,0.90535086,0.00007852392,0.00009373682,0.002519232,0.00033056605,0.0009388206,0.042306785,0.0001357486,0.00022301647,0.046591375],"study_design_scores_gemma":[0.00002849862,0.0004733983,0.9868912,0.000008349982,0.000054224707,0.0050747558,0.0001329931,0.0024078297,0.004609927,0.00013748654,0.0001690428,0.000012257712],"about_ca_topic_score_codex":0.0007536996,"about_ca_topic_score_gemma":0.0009050498,"teacher_disagreement_score":0.0010723129,"about_ca_system_score_codex":0.00011607308,"about_ca_system_score_gemma":0.00012728506,"threshold_uncertainty_score":0.001563251},"labels":[],"label_agreement":null},{"id":"W2279184716","doi":"10.1007/s10548-016-0481-7","title":"Detectability of Fast Ripples (>250 Hz) on the Scalp EEG: A Proof-of-Principle Study with Subdermal Electrodes","year":2016,"lang":"en","type":"article","venue":"Brain Topography","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Austrian Science Fund","keywords":"Electroencephalography; Scalp; Epilepsy; Neurology; Medicine; Biomedical engineering; Audiology; Cardiology; Neuroscience; Psychology; Surgery","score_opus":0.018481692972509397,"score_gpt":0.25959337015370837,"score_spread":0.24111167718119897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2279184716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8765963,0.0008276275,0.11821709,0.0002297936,0.00010768853,0.00031323064,0.0004904415,0.00038490674,0.0028329135],"genre_scores_gemma":[0.9844743,0.00029872035,0.0144649,0.00006792654,0.000038452792,0.000062967236,0.0001136638,0.000046971847,0.00043213996],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999706,0.00007045369,0.000012893471,0.000085438856,0.00008683648,0.00003839549],"domain_scores_gemma":[0.998514,0.0010378911,0.00009835115,0.00017668714,0.000114326765,0.00005882322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061918446,0.00050425157,0.00032683095,0.00023383889,0.00017974107,0.00047282968,0.000702856,0.0006607289,0.0015854994],"category_scores_gemma":[0.0024445981,0.00021897095,0.00030835162,0.00016130984,0.0005481599,0.0005407742,0.00033559976,0.00040158496,0.0002683485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010471356,0.000121306606,0.0010559327,0.00019192368,0.00003807186,0.0002080709,0.00007520737,0.00033813313,0.9798972,0.00027930806,0.00018420862,0.016563494],"study_design_scores_gemma":[0.0002873268,0.004500301,0.044295397,0.000039388608,0.0002508103,0.0023463434,0.00011119242,0.020521646,0.92483187,0.00080671214,0.0019727512,0.00003628576],"about_ca_topic_score_codex":0.00041335454,"about_ca_topic_score_gemma":0.0003817671,"teacher_disagreement_score":0.0015854994,"about_ca_system_score_codex":0.0001177621,"about_ca_system_score_gemma":0.00018268736,"threshold_uncertainty_score":0.005304098},"labels":[],"label_agreement":null},{"id":"W2297743317","doi":"10.1007/s10548-016-0475-5","title":"On the Differentiation of Foveal and Peripheral Early Visual Evoked Potentials","year":2016,"lang":"en","type":"article","venue":"Brain Topography","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; James S. McDonnell Foundation; National Science Foundation","keywords":"Foveal; Checkerboard; Visual field; Stimulus (psychology); Peripheral; Visual N1; Audiology; Scalp; Visual evoked potentials; Evoked potential; Neuroscience; Physics; Visual perception; Psychology; Ophthalmology; Medicine; Mathematics; Anatomy; Retinal; Perception; Cognitive psychology; Geometry","score_opus":0.02715769714898065,"score_gpt":0.2851030472173874,"score_spread":0.25794535006840674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2297743317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85882604,0.009199606,0.10077823,0.00079300464,0.00017041134,0.0001248555,0.0005338825,0.00030068963,0.029273279],"genre_scores_gemma":[0.98976266,0.0021180206,0.005966024,0.000102963095,0.00005099989,0.000018173181,0.00013318303,0.000037017395,0.0018109687],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998952,0.000028220875,0.000005683492,0.000021053454,0.00003347594,0.00001627732],"domain_scores_gemma":[0.9991423,0.0006504419,0.000031586962,0.00006282315,0.00008189011,0.000030938518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037944695,0.0002138064,0.00018008208,0.0004622203,0.00014096868,0.00044134125,0.0004142567,0.0003379725,0.0036656915],"category_scores_gemma":[0.0026227068,0.00009463988,0.00016730925,0.00035240297,0.00052633055,0.00079061225,0.000402671,0.0004338221,0.00044629004],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012177654,0.000050753242,0.0023176342,0.0002592436,0.000020593372,0.000875283,0.00018170997,0.0006710874,0.8588892,0.013659289,0.000415136,0.121442236],"study_design_scores_gemma":[0.00013147878,0.000803862,0.41171664,0.00022642897,0.00019647983,0.0061514974,0.00048131298,0.020530086,0.51130295,0.039675467,0.008710752,0.000073022595],"about_ca_topic_score_codex":0.000779401,"about_ca_topic_score_gemma":0.00091218593,"teacher_disagreement_score":0.0036656915,"about_ca_system_score_codex":0.00017113482,"about_ca_system_score_gemma":0.00015788335,"threshold_uncertainty_score":0.01226294},"labels":[],"label_agreement":null},{"id":"W2332401200","doi":"10.1007/s10548-014-0407-1","title":"Are Epilepsy-Related fMRI Components Dependent on the Presence of Interictal Epileptic Discharges in Scalp EEG?","year":2014,"lang":"en","type":"article","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Ictal; Electroencephalography; EEG-fMRI; Epilepsy; Scalp; Independent component analysis; Resting state fMRI; Neuroscience; Psychology; Neurology; Pattern recognition (psychology); Audiology; Medicine; Computer science; Artificial intelligence","score_opus":0.02750157865444949,"score_gpt":0.24576829874858708,"score_spread":0.21826672009413758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332401200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919817,0.0011722189,0.0030722213,0.0005160366,0.000040327664,0.000025168605,0.00032842474,0.00003364663,0.0028302413],"genre_scores_gemma":[0.9984775,0.00045183953,0.0005212066,0.00013200947,0.000068303954,0.000008896819,0.00016562355,0.000011250699,0.00016344938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982315,0.000044396078,0.000021890673,0.000041933145,0.000032762724,0.000035809764],"domain_scores_gemma":[0.9976908,0.0011902336,0.000688658,0.0002044545,0.00015256087,0.0000732822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006685663,0.0002704802,0.00024752252,0.0006598557,0.00015404652,0.0004823419,0.00031574408,0.0006130572,0.0023185615],"category_scores_gemma":[0.006025569,0.00020187,0.00028042158,0.0006833868,0.00076311664,0.0009261241,0.00017043587,0.00038710525,0.00036611807],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015661204,0.00030453442,0.63058203,0.00050673226,0.0007582532,0.0022295816,0.00058566674,0.00045674018,0.24704975,0.001172398,0.0011693992,0.11361888],"study_design_scores_gemma":[0.000008724235,0.000061093204,0.99521625,0.000012494887,0.000053592627,0.0011283553,0.000101395395,0.0002183017,0.0025783766,0.000431978,0.0001840088,0.0000054200036],"about_ca_topic_score_codex":0.00077060924,"about_ca_topic_score_gemma":0.0015345723,"teacher_disagreement_score":0.0023185615,"about_ca_system_score_codex":0.00008385855,"about_ca_system_score_gemma":0.00013945284,"threshold_uncertainty_score":0.0077563524},"labels":[],"label_agreement":null},{"id":"W2409533789","doi":"10.1007/s10548-012-0269-3","title":"Neuromodulation, Agency and Autonomy","year":2013,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":94,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Neuromodulation; Neurofeedback; Deep brain stimulation; Brain–computer interface; Brain activity and meditation; Psychology; Neuroscience; Neuroprosthetics; Neurophysiology; Trainer; Autonomy; Agency (philosophy); Physical medicine and rehabilitation; Stimulation; Computer science; Medicine; Electroencephalography","score_opus":0.011612648558321864,"score_gpt":0.23504831804313145,"score_spread":0.22343566948480958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2409533789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71518534,0.02934344,0.04826825,0.007785401,0.0002689715,0.000048761583,0.0003035897,0.00009845358,0.19869772],"genre_scores_gemma":[0.9935382,0.0023284128,0.0019929698,0.00009527882,0.00003885189,0.000010527106,0.000021629448,0.000006219617,0.0019678592],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998609,0.000049690843,0.000007894766,0.00002562844,0.000036369198,0.000019594616],"domain_scores_gemma":[0.99968374,0.0001459742,0.00006695658,0.000034484343,0.000030531166,0.000038354163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026471922,0.00015460997,0.00018599986,0.00036060484,0.0002662054,0.0014386825,0.00020793582,0.00035988944,0.002467078],"category_scores_gemma":[0.001070879,0.000072831695,0.000119364224,0.0003977485,0.0021123919,0.0009631628,0.0005413309,0.00043948521,0.00011443949],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006702404,0.00017200725,0.04223468,0.00063644483,0.00019898613,0.0013287667,0.0063155405,0.0033573918,0.03754575,0.40377858,0.0031938169,0.50056785],"study_design_scores_gemma":[0.00008625053,0.00053216296,0.3142589,0.0001982893,0.00009585855,0.0041631935,0.0059852954,0.0036967976,0.006645338,0.6298333,0.03442477,0.000079805526],"about_ca_topic_score_codex":0.0010424182,"about_ca_topic_score_gemma":0.0013740093,"teacher_disagreement_score":0.002467078,"about_ca_system_score_codex":0.00032850658,"about_ca_system_score_gemma":0.00041679078,"threshold_uncertainty_score":0.008253157},"labels":[],"label_agreement":null},{"id":"W2541516907","doi":"10.1007/s10548-016-0533-z","title":"Association Between Falls and Brain Subvolumes: Results from a Cross-Sectional Analysis in Healthy Older Adults","year":2016,"lang":"en","type":"article","venue":"Brain Topography","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Health and Social Services Centre University Institute of Geriatrics of Sherbrooke; Institut Universitaire de Gériatrie de Montréal; University of Manitoba; University of New Brunswick; McGill University; University of Regina; University of British Columbia; Jewish General Hospital","funders":"","keywords":"Premotor cortex; Posterior parietal cortex; Somatosensory system; Secondary somatosensory cortex; Medicine; White matter; Physical medicine and rehabilitation; Cortex (anatomy); Gait; Psychology; Neuroscience; Magnetic resonance imaging; Anatomy","score_opus":0.018165340502496033,"score_gpt":0.34433241397344605,"score_spread":0.32616707347095003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2541516907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995689,0.00007567371,0.000067465866,0.000013619105,0.0000027547774,0.000004722125,0.00016822669,0.0000015689232,0.00009706185],"genre_scores_gemma":[0.9993069,0.000063371255,0.000120997436,0.000026463416,0.000007039263,0.000010905276,0.0003196059,0.0000018101578,0.00014279067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997335,0.000081360646,0.000032384392,0.00007758047,0.000038676444,0.000036412595],"domain_scores_gemma":[0.99934214,0.00013825276,0.00019212258,0.00006359138,0.00012924024,0.00013462192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007820521,0.00037770468,0.00040232314,0.00058894634,0.0005317785,0.00050141127,0.00024342402,0.0006605828,0.0009936142],"category_scores_gemma":[0.0015561025,0.00045976104,0.0005532483,0.00079694483,0.00029594442,0.00061348005,0.0004493962,0.00049481046,0.00018734655],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017228778,0.000098979486,0.9984938,0.000006334569,0.00015524433,0.000032051088,0.00010185969,0.000028435361,0.0002790228,0.000005698223,0.000041136438,0.0005850364],"study_design_scores_gemma":[0.0000041700064,0.00008326368,0.99964476,0.00000112886,0.000033183962,0.0000426753,0.000101819,0.00004369061,0.000015307269,0.0000067537712,0.000021868305,0.0000013311362],"about_ca_topic_score_codex":0.009254739,"about_ca_topic_score_gemma":0.015571369,"teacher_disagreement_score":0.009254739,"about_ca_system_score_codex":0.00019034962,"about_ca_system_score_gemma":0.00024273338,"threshold_uncertainty_score":0.018401742},"labels":[],"label_agreement":null},{"id":"W2592577691","doi":"10.1007/s10548-017-0553-3","title":"The Role of the Supplementary Motor Region in Overt Reading: Evidence for Differential Processing in SMA-Proper and Pre-SMA as a Function of Task Demands","year":2017,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"SMA*; Supplementary motor area; Supramarginal gyrus; Reading (process); Psychology; Cognitive psychology; Cognition; Computer science; Functional magnetic resonance imaging; Linguistics; Neuroscience","score_opus":0.030876620696454637,"score_gpt":0.30492855621964887,"score_spread":0.27405193552319423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592577691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981981,0.00006337584,0.0008559505,0.00003699526,0.0000045965116,0.0000061408427,0.000094322895,0.000011402338,0.00072912703],"genre_scores_gemma":[0.99858236,0.00005723333,0.00057088764,0.000020995314,0.000009356906,0.00002529805,0.0001046587,0.000029303745,0.00059982424],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99974436,0.00005401605,0.000024532985,0.000076519675,0.00005320514,0.000047449386],"domain_scores_gemma":[0.997189,0.0015361788,0.0005892462,0.00026827035,0.00016074737,0.00025655967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043620818,0.00033496032,0.00031834687,0.0004040439,0.00023940527,0.000665156,0.00029685828,0.0003723932,0.0030238302],"category_scores_gemma":[0.0028625492,0.00033886975,0.00012961267,0.00023960872,0.00058801775,0.00079027744,0.00037718387,0.000495129,0.0003724514],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022715607,0.00011954123,0.015274371,0.00006398325,0.000025485026,0.00022624101,0.00028859172,0.0001315187,0.97401255,0.00027602137,0.00005747117,0.007252645],"study_design_scores_gemma":[0.000070466565,0.0005888283,0.90833104,0.000011133003,0.000041761527,0.0006582557,0.0002940063,0.001445978,0.08750798,0.00073601614,0.0003029309,0.000011580931],"about_ca_topic_score_codex":0.0009152509,"about_ca_topic_score_gemma":0.0019356543,"teacher_disagreement_score":0.0030238302,"about_ca_system_score_codex":0.00018228022,"about_ca_system_score_gemma":0.00023260278,"threshold_uncertainty_score":0.010115743},"labels":[],"label_agreement":null},{"id":"W2612756596","doi":"10.1007/s10548-017-0565-z","title":"EEG Microstate Correlates of Fluid Intelligence and Response to Cognitive Training","year":2017,"lang":"en","type":"article","venue":"Brain Topography","topic":"Cognitive Abilities and Testing","field":"Psychology","cited_by":105,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Center for Advancing Translational Sciences; National Center for Research Resources; Intelligence Advanced Research Projects Activity; Allen Foundation; Harvard University; National Institutes of Health; Office of the Director of National Intelligence; Harvard Catalyst; Sidney R. Baer, Jr. Foundation","keywords":"Ministate; Electroencephalography; Psychology; Cognition; Cognitive psychology; Neurology; Artificial intelligence; Neuroscience; Computer science","score_opus":0.0545244769638827,"score_gpt":0.3424435195473052,"score_spread":0.2879190425834225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612756596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983197,0.00007211158,0.00033024303,0.00003415897,0.000007568693,0.000012480642,0.0001356181,0.000014282704,0.0010736749],"genre_scores_gemma":[0.9994784,0.00003749441,0.00008434939,0.000013270611,0.00001095203,0.000009971527,0.00006547766,0.0000046458044,0.0002954656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999176,0.000017171393,0.000005587819,0.000017786628,0.00002064324,0.00002123217],"domain_scores_gemma":[0.9991708,0.00043658298,0.00018718233,0.00004044035,0.00008271811,0.00008226049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015704989,0.00025757213,0.00016476525,0.0003190685,0.000086631226,0.00028890898,0.00008810316,0.0001974452,0.0016617641],"category_scores_gemma":[0.0033368499,0.00009339389,0.00009133579,0.00032996267,0.00020416538,0.00016195158,0.00017540908,0.00028327559,0.00017674682],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009193083,0.0011224771,0.51451933,0.00017795253,0.00030649483,0.00080983306,0.0016795541,0.0022591895,0.37946135,0.00036992374,0.00093782897,0.08916296],"study_design_scores_gemma":[0.000011341967,0.00023287535,0.99622995,0.0000032370478,0.000014608791,0.00008237764,0.00007753342,0.00035020267,0.0028274602,0.00007373412,0.000093190785,0.0000033688102],"about_ca_topic_score_codex":0.001911148,"about_ca_topic_score_gemma":0.0016519325,"teacher_disagreement_score":0.001911148,"about_ca_system_score_codex":0.00009055371,"about_ca_system_score_gemma":0.00009362913,"threshold_uncertainty_score":0.005559206},"labels":[],"label_agreement":null},{"id":"W2614122704","doi":"10.1007/s10548-017-0568-9","title":"Zoomed MRI Guided by Combined EEG/MEG Source Analysis: A Multimodal Approach for Optimizing Presurgical Epilepsy Work-up and its Application in a Multi-focal Epilepsy Patient Case Study","year":2017,"lang":"en","type":"article","venue":"Brain Topography","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University; Concordia University","funders":"Medizinische Fakultät, Ruhr-Universität Bochum; H2020 Marie Skłodowska-Curie Actions; Fonds de Recherche du Québec - Santé; Deutsche Forschungsgemeinschaft; Savoy Foundation","keywords":"Cortical dysplasia; Magnetoencephalography; Ictal; Electroencephalography; Epilepsy; Epilepsy surgery; Medicine; Magnetic resonance imaging; Neuroradiology; Radiology; Neuroscience; Neurology; Computer science; Psychology","score_opus":0.033169646554416746,"score_gpt":0.3406859433264983,"score_spread":0.3075162967720816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614122704","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39929408,0.001399758,0.5950229,0.0005668428,0.000034115852,0.00020932821,0.00016945032,0.0009779503,0.0023255874],"genre_scores_gemma":[0.714735,0.00066461234,0.28355205,0.00008316196,0.000038748956,0.00006159566,0.0000819786,0.000094764844,0.0006879728],"study_design_codex":"bench_or_experimental","study_design_gemma":"case_report","domain_scores_codex":[0.9999286,0.000020983656,0.0000062087643,0.000018388875,0.000019281504,0.00000654121],"domain_scores_gemma":[0.9999126,0.00003219636,0.000011392376,0.000015233464,0.000014781292,0.000013727669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020820742,0.0005395953,0.00021468641,0.00076242397,0.00012949345,0.00028497403,0.00025300556,0.00052733335,0.0010220289],"category_scores_gemma":[0.00062070705,0.00019909599,0.00027690982,0.00021423861,0.00018444254,0.00025399384,0.000406464,0.0002481409,0.00023670813],"study_design_candidate":"case_report","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040391777,0.00015080471,0.013444276,0.00031585267,0.00009666331,0.04232589,0.0008178473,0.060924646,0.55198205,0.0018860559,0.0014588453,0.32619318],"study_design_scores_gemma":[0.00006834891,0.00081854017,0.03743671,0.00013386829,0.00023054871,0.106096156,0.0006398396,0.6803437,0.1585313,0.0044402513,0.011074067,0.00018667219],"about_ca_topic_score_codex":0.0006520878,"about_ca_topic_score_gemma":0.0013193438,"teacher_disagreement_score":0.0010220289,"about_ca_system_score_codex":0.00012690888,"about_ca_system_score_gemma":0.00020522847,"threshold_uncertainty_score":0.0034190416},"labels":[],"label_agreement":null},{"id":"W2767301315","doi":"10.1007/s10548-017-0605-8","title":"EEG Frequency-Tagging and Input–Output Comparison in Rhythm Perception","year":2017,"lang":"en","type":"review","venue":"Brain Topography","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Laboratory for Brain, Music and Sound Research","funders":"Australian Research Council","keywords":"Rhythm; Electroencephalography; Percept; Beat (acoustics); Perception; Categorization; Computer science; Speech recognition; Frequency domain; Auditory perception; Psychology; Pattern recognition (psychology); Artificial intelligence; Communication; Neuroscience; Acoustics; Physics","score_opus":0.15355944901409435,"score_gpt":0.39137480555055604,"score_spread":0.2378153565364617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767301315","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015985119,0.9978556,0.00059543404,0.00031862108,0.00016426033,0.000004517346,0.000023555935,0.000007946623,0.00087020884],"genre_scores_gemma":[0.0019698788,0.99598676,0.0006827038,0.00022786057,0.00054764585,0.000008428368,0.00004417342,0.000003712713,0.00052888424],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99976164,0.000040471903,0.00003988874,0.00007452304,0.00006664994,0.000016766011],"domain_scores_gemma":[0.9991824,0.00051292154,0.00009857235,0.000029194254,0.00014259844,0.000034280332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012032344,0.0011464806,0.0013992292,0.002108694,0.000238726,0.0015215962,0.0011674344,0.001722477,0.0033329257],"category_scores_gemma":[0.0018002352,0.00041096882,0.0005228579,0.0027817292,0.0016080965,0.0020877845,0.0009925356,0.0016757789,0.0017052533],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011527791,0.000044745673,0.0004256987,0.011912793,0.00018331473,0.00019451913,0.00007477242,0.00043683493,0.001612815,0.005424903,0.010262338,0.96931195],"study_design_scores_gemma":[0.00007182078,0.00021196653,0.009034482,0.010776243,0.00074084336,0.004437326,0.00033742204,0.00077883777,0.0024740675,0.028544411,0.9424537,0.00013890621],"about_ca_topic_score_codex":0.0015846835,"about_ca_topic_score_gemma":0.0026712155,"teacher_disagreement_score":0.0033329257,"about_ca_system_score_codex":0.000694022,"about_ca_system_score_gemma":0.0013492916,"threshold_uncertainty_score":0.011149704},"labels":[],"label_agreement":null},{"id":"W2768021783","doi":"10.1007/s10548-017-0596-5","title":"Cortical Processing of Level Cues for Spatial Hearing is Impaired in Children with Prelingual Deafness Despite Early Bilateral Access to Sound","year":2017,"lang":"en","type":"article","venue":"Brain Topography","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Audiology; Unilateral hearing loss; Sound localization; Lateralization of brain function; Binaural recording; Auditory cortex; Psychology; Cochlear implant; Hearing loss; Medicine","score_opus":0.07778514187112737,"score_gpt":0.3527697178997857,"score_spread":0.27498457602865833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768021783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991936,0.000055218232,0.0000963035,0.000032181153,0.0000024304666,0.0000036353192,0.000102674705,0.000013282958,0.00050071406],"genre_scores_gemma":[0.9993954,0.0000554161,0.00017380113,0.00001714126,0.0000025864774,0.000009093068,0.00009138522,0.00000768427,0.0002474095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996146,0.000037545287,0.000039633574,0.00009481179,0.00010555485,0.000107804895],"domain_scores_gemma":[0.9989188,0.00041353193,0.0003825961,0.00007369948,0.000111835165,0.000099606565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035951688,0.00063791464,0.00047428746,0.0009920105,0.00038463072,0.0007490002,0.00040278689,0.00038985873,0.0031516128],"category_scores_gemma":[0.0024077022,0.00041630593,0.0002860375,0.00043372967,0.0016168985,0.00072597223,0.0007403976,0.0005662107,0.0003864532],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002762869,0.0004631575,0.5948181,0.00039171058,0.00023045787,0.024509396,0.0076102037,0.0008732488,0.33513856,0.00080690405,0.00086607056,0.031529374],"study_design_scores_gemma":[0.000031904943,0.000252363,0.98172253,0.000017092052,0.00006425975,0.007378776,0.0020539286,0.00022934172,0.0077603483,0.00025659738,0.00021882229,0.000014057099],"about_ca_topic_score_codex":0.012824885,"about_ca_topic_score_gemma":0.013162849,"teacher_disagreement_score":0.012824885,"about_ca_system_score_codex":0.00038803412,"about_ca_system_score_gemma":0.0006764083,"threshold_uncertainty_score":0.025500476},"labels":[],"label_agreement":null},{"id":"W2781738499","doi":"10.1023/a:1023915730566","title":"Frontal and Temporal Lobe Sources for a Marker of Controlled Auditory Attention: The Negative Difference (Nd) Event-Related Potential","year":2003,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôpital Rivière-des-Prairies","funders":"","keywords":"Temporal lobe; Magnetoencephalography; Mismatch negativity; Frontal lobe; Psychology; Oddball paradigm; Audiology; Electroencephalography; Stimulus (psychology); Superior temporal gyrus; Event-related potential; Neuroscience; P3a; Cognitive psychology; Medicine; Functional magnetic resonance imaging; Epilepsy","score_opus":0.012589072284533652,"score_gpt":0.24470406799293434,"score_spread":0.2321149957084007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781738499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9434176,0.0014847299,0.027705869,0.0011755422,0.00017105287,0.00021214306,0.0011604105,0.00013436237,0.024538329],"genre_scores_gemma":[0.9931853,0.00027359737,0.004177926,0.0002937806,0.000084450636,0.000052299656,0.00023931664,0.00004468161,0.0016486805],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99990773,0.00001818832,0.000005162595,0.000027097314,0.000027135016,0.000014717725],"domain_scores_gemma":[0.99939656,0.00038650635,0.00007143644,0.000055878718,0.00004919921,0.000040322542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046983446,0.00036493136,0.00020350011,0.00038279427,0.0002523166,0.00059854385,0.00035900265,0.00052107894,0.004192008],"category_scores_gemma":[0.0028690952,0.00015742215,0.0002485754,0.00033164708,0.0004468015,0.0006707372,0.00045051074,0.00052123645,0.0003761352],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030718583,0.00018509553,0.027082738,0.00027289035,0.00011797713,0.0019066401,0.0005222181,0.000559977,0.8896436,0.009438972,0.0017014998,0.06549651],"study_design_scores_gemma":[0.00045004752,0.0010536538,0.84685963,0.00012714296,0.0003187034,0.015388841,0.00063656026,0.009702886,0.09005557,0.027883165,0.0074588344,0.00006493815],"about_ca_topic_score_codex":0.00069669395,"about_ca_topic_score_gemma":0.0012459506,"teacher_disagreement_score":0.004192008,"about_ca_system_score_codex":0.00020112189,"about_ca_system_score_gemma":0.00017058058,"threshold_uncertainty_score":0.014023602},"labels":[],"label_agreement":null},{"id":"W2792781130","doi":"10.1007/s10548-018-0627-x","title":"Localizing Event-Related Potentials Using Multi-source Minimum Variance Beamformers: A Validation Study","year":2018,"lang":"en","type":"article","venue":"Brain Topography","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Variance (accounting); Event (particle physics); Event-related potential; Variance components; Computer science; Artificial intelligence; Statistics; Pattern recognition (psychology); Electroencephalography; Psychology; Mathematics; Neuroscience; Physics; Accounting","score_opus":0.025369975756597628,"score_gpt":0.29854673006267957,"score_spread":0.27317675430608196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792781130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7337266,0.00049356814,0.26275912,0.00009521495,0.000043105345,0.00059182785,0.00077139965,0.00045073553,0.0010683027],"genre_scores_gemma":[0.9408657,0.00025241592,0.05629457,0.00006160069,0.000020278909,0.00021609456,0.0013533231,0.00014065833,0.00079540885],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982552,0.0010379264,0.00012213182,0.0002700195,0.00022614826,0.00008862607],"domain_scores_gemma":[0.9916437,0.0045635817,0.00037834822,0.0016992661,0.0016225462,0.00009239459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006296358,0.0011304338,0.0005587781,0.00051521655,0.00035059763,0.0005907749,0.0011185032,0.0010171502,0.0014900898],"category_scores_gemma":[0.01749452,0.00034144358,0.000896921,0.00040502183,0.0008730058,0.0008024754,0.00076894666,0.0006251247,0.00083925715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007282936,0.0041898377,0.05381954,0.001402677,0.0014345227,0.0013995557,0.0024334798,0.08098924,0.43162796,0.0017966315,0.00261321,0.41101038],"study_design_scores_gemma":[0.0030305965,0.018398046,0.22011304,0.0002559099,0.0024171586,0.007852617,0.0014389079,0.4589946,0.27475575,0.0030038375,0.009412797,0.000326758],"about_ca_topic_score_codex":0.0023128134,"about_ca_topic_score_gemma":0.002275039,"teacher_disagreement_score":0.006296358,"about_ca_system_score_codex":0.00021662914,"about_ca_system_score_gemma":0.00063219114,"threshold_uncertainty_score":0.03329867},"labels":[],"label_agreement":null},{"id":"W2800591725","doi":"10.1007/s10548-018-0645-8","title":"Spatio-temporal Reconstruction of Neural Sources Using Indirect Dominant Mode Rejection","year":2018,"lang":"en","type":"article","venue":"Brain Topography","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Mode (computer interface); Computer science; Artificial neural network; Artificial intelligence; Pattern recognition (psychology); Human–computer interaction","score_opus":0.017731174122979476,"score_gpt":0.23659694852560476,"score_spread":0.21886577440262528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800591725","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024770832,0.000141749,0.9736352,0.00009287124,0.000020592548,0.000010936328,0.00010956022,0.00021816781,0.0010001019],"genre_scores_gemma":[0.42121312,0.0010304668,0.5704398,0.00007370572,0.00006179947,0.00006616263,0.0005900566,0.00020043347,0.006324501],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994373,0.000011138991,0.000003115015,0.0000083948025,0.000024234383,0.000009383513],"domain_scores_gemma":[0.99981683,0.00007865581,0.000022866863,0.000023856343,0.000047905574,0.000009898401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022607562,0.00057771633,0.0002002856,0.0004048491,0.00012591599,0.0004798229,0.0003540961,0.00039905575,0.0015842445],"category_scores_gemma":[0.0013274743,0.00022995641,0.00034334432,0.00054126483,0.00023028727,0.00064777565,0.00043122645,0.000606432,0.0005409012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035808622,0.00010730106,0.002990355,0.00028415077,0.00015516828,0.00037262077,0.0003281337,0.22688444,0.26782095,0.026111525,0.0030926128,0.47149462],"study_design_scores_gemma":[0.000018669994,0.000042451375,0.0022742592,0.000020124298,0.000032222695,0.00026318833,0.00005915853,0.9482655,0.03715872,0.009493266,0.0023524761,0.00001992755],"about_ca_topic_score_codex":0.001475704,"about_ca_topic_score_gemma":0.0033243562,"teacher_disagreement_score":0.0015842445,"about_ca_system_score_codex":0.00012894477,"about_ca_system_score_gemma":0.0004927473,"threshold_uncertainty_score":0.0052998066},"labels":[],"label_agreement":null},{"id":"W2877024837","doi":"10.1007/s10548-018-0663-6","title":"Increased Early Sensitivity to Eyes in Mouthless Faces: In Support of the LIFTED Model of Early Face Processing","year":2018,"lang":"en","type":"article","venue":"Brain Topography","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Fixation (population genetics); Gaze; Artificial intelligence; Face (sociological concept); Perception; Face perception; Computer science; Orientation (vector space); Computer vision; Lateral inhibition; Sensitivity (control systems); Psychology; Eye movement; Communication; Pattern recognition (psychology); Neuroscience; Biology; Mathematics; Engineering; Geometry","score_opus":0.04552561152229596,"score_gpt":0.2911833354120391,"score_spread":0.24565772388974316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2877024837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96367204,0.00093556644,0.028256645,0.0008428007,0.00016274725,0.000042802378,0.00048050794,0.000314318,0.005292594],"genre_scores_gemma":[0.99297017,0.0003290666,0.004649946,0.00014458627,0.000045907786,0.00002894636,0.00016534458,0.000058920345,0.001606986],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998965,0.000007768934,0.0000050199874,0.00003271436,0.00003631005,0.000021612213],"domain_scores_gemma":[0.99922097,0.00034673387,0.0001107828,0.00018088582,0.00007459903,0.00006604056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000318146,0.00026821342,0.0002896973,0.00046275114,0.00020518641,0.00052463013,0.00056982914,0.00049187586,0.0052976315],"category_scores_gemma":[0.0020192608,0.00018114084,0.00044868584,0.00020395523,0.00067371235,0.001082625,0.000815718,0.000907289,0.00037009484],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036953008,0.00003325266,0.005457914,0.0001597413,0.000048024507,0.0010509944,0.00026958445,0.00046541137,0.9694801,0.0023417948,0.00040531138,0.019918393],"study_design_scores_gemma":[0.00004953423,0.00026565307,0.8032989,0.00004010834,0.0001106578,0.0038826321,0.00036691324,0.0068104765,0.1710037,0.012463539,0.0016580122,0.0000498594],"about_ca_topic_score_codex":0.00086688995,"about_ca_topic_score_gemma":0.0008129156,"teacher_disagreement_score":0.0052976315,"about_ca_system_score_codex":0.00016410813,"about_ca_system_score_gemma":0.0001981381,"threshold_uncertainty_score":0.017722368},"labels":[],"label_agreement":null},{"id":"W2909591114","doi":"10.1007/s10548-019-00697-w","title":"Characterization of Autism Spectrum Disorder across the Age Span by Intrinsic Network Patterns","year":2019,"lang":"en","type":"article","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"","keywords":"Autism spectrum disorder; Autism Diagnostic Observation Schedule; Resting state fMRI; Autism; Psychology; Functional connectivity; Neuroscience; Association (psychology); Audiology; Functional magnetic resonance imaging; Developmental psychology; Medicine","score_opus":0.00999831010701566,"score_gpt":0.22910495975954542,"score_spread":0.21910664965252977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909591114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99770206,0.00018888796,0.0007647899,0.000029382076,0.000003180945,0.000008235657,0.00044802614,0.000014540494,0.00084090873],"genre_scores_gemma":[0.99882525,0.00010476964,0.0004534787,0.000009669589,0.000005175818,0.0000116856745,0.00032506415,0.000008172711,0.00025669654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998704,0.00001940364,0.000011258424,0.000053907945,0.000022332557,0.000022808761],"domain_scores_gemma":[0.9993913,0.000119428514,0.00026719522,0.000052023654,0.00010654779,0.00006346933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025947596,0.00023098566,0.00019043582,0.0014282593,0.00018449478,0.00035508454,0.00018985856,0.0002210715,0.0013230451],"category_scores_gemma":[0.0013473866,0.00010951914,0.0001888556,0.00049691874,0.00020259811,0.0004338399,0.00035661197,0.00021622509,0.00017546528],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002588342,0.000050596842,0.90491676,0.000052355674,0.00020427238,0.0007193391,0.00048727446,0.0006136475,0.06269636,0.00034116104,0.0004217385,0.029237669],"study_design_scores_gemma":[7.495845e-7,0.00002629039,0.99841976,0.0000024019919,0.000011104166,0.00046146137,0.00006304795,0.00033106955,0.00048639343,0.00009050584,0.00010532185,0.0000018388822],"about_ca_topic_score_codex":0.002686683,"about_ca_topic_score_gemma":0.0059133195,"teacher_disagreement_score":0.002686683,"about_ca_system_score_codex":0.0001956663,"about_ca_system_score_gemma":0.00011627681,"threshold_uncertainty_score":0.0053420663},"labels":[],"label_agreement":null},{"id":"W2953436336","doi":"10.1007/s10548-019-00720-0","title":"In Memoriam: Fernando Lopes da Silva (1935–2019)","year":2019,"lang":"en","type":"article","venue":"Brain Topography","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"LOPES; Philosophy; Humanities; Art; Physics","score_opus":0.01773255124943261,"score_gpt":0.26795437026835855,"score_spread":0.25022181901892593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953436336","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00020662065,0.026839623,0.00043633516,0.22238071,0.7489681,0.000012182663,0.00013338383,0.0000553807,0.0009676185],"genre_scores_gemma":[0.00563242,0.016717391,0.00043014617,0.15844876,0.8026804,0.000048150596,0.00010923021,0.00008773797,0.0158458],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99766123,0.0005052784,0.00029423847,0.0007863363,0.00059715833,0.00015580548],"domain_scores_gemma":[0.9898168,0.0031262436,0.001195319,0.0003008029,0.004339927,0.0012210027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032916039,0.0020253265,0.002608599,0.001932786,0.002316098,0.00498414,0.001875781,0.0072428714,0.010592359],"category_scores_gemma":[0.035474524,0.00040131036,0.0015480452,0.00095057057,0.0032904968,0.003963262,0.005507276,0.011981086,0.008810039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005172194,0.000008640257,0.00043516583,0.0003485863,0.00003651239,0.0006886735,0.00018128798,0.000048322097,0.00014431914,0.0009808377,0.97820216,0.01887371],"study_design_scores_gemma":[0.000014534629,0.000025458907,0.00094500475,0.00045815352,0.000048872123,0.001956738,0.00025117723,0.00011507619,0.00017912503,0.0015696615,0.99439925,0.000036966863],"about_ca_topic_score_codex":0.0032156024,"about_ca_topic_score_gemma":0.0048881858,"teacher_disagreement_score":0.010592359,"about_ca_system_score_codex":0.0026733072,"about_ca_system_score_gemma":0.0022721663,"threshold_uncertainty_score":0.03543502},"labels":[],"label_agreement":null},{"id":"W2985441701","doi":"10.1007/s10548-019-00744-6","title":"Towards a Universal Taxonomy of Macro-scale Functional Human Brain Networks","year":2019,"lang":"en","type":"review","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":748,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Mental Health; Canadian Institutes of Health Research","keywords":"Computer science; Taxonomy (biology); Macro; Human brain; Scale (ratio); Neuroscience; Cognitive science; Artificial intelligence; Data science; Psychology; Biology; Geography; Programming language; Cartography; Ecology","score_opus":0.09761253348124523,"score_gpt":0.3015046746250526,"score_spread":0.20389214114380738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985441701","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002113951,0.9921261,0.004091966,0.0011689432,0.00032734676,0.0000097518305,0.00006446369,0.000035150424,0.0019648666],"genre_scores_gemma":[0.0023617775,0.9909121,0.004388921,0.00063799345,0.0007647683,0.000027091624,0.00012626844,0.00001117195,0.0007698819],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996252,0.00008601411,0.00005939381,0.00011903149,0.000084702064,0.000025601003],"domain_scores_gemma":[0.9987141,0.00081338553,0.00011398189,0.000057177487,0.00024372808,0.00005766139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017774072,0.0017787743,0.0022717868,0.0060113803,0.00050735695,0.0026620822,0.001957166,0.0018906209,0.00213676],"category_scores_gemma":[0.0027022874,0.0005867601,0.00056357624,0.0046054367,0.0032176892,0.0048397477,0.0019052939,0.0030054871,0.0014400848],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038225204,0.000030270103,0.00044581498,0.0126672285,0.00015539723,0.00016561113,0.00017093518,0.0013325389,0.0011755145,0.081556864,0.024138724,0.87812275],"study_design_scores_gemma":[0.000015882066,0.00007039392,0.002788498,0.009331249,0.00022949101,0.0017743029,0.00027582818,0.0013914278,0.00060942303,0.1611305,0.822273,0.00010998841],"about_ca_topic_score_codex":0.0029990943,"about_ca_topic_score_gemma":0.0043514767,"teacher_disagreement_score":0.0060113803,"about_ca_system_score_codex":0.0020214326,"about_ca_system_score_gemma":0.0024270802,"threshold_uncertainty_score":0.014666557},"labels":[],"label_agreement":null},{"id":"W3025224306","doi":"10.1007/s10548-020-00775-4","title":"Enhanced Regional Functional Connectivity Indicates Seizure Onset Zone","year":2020,"lang":"en","type":"article","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Key Research and Development Program of China; Canadian Institutes of Health Research; National Natural Science Foundation of China","keywords":"Concordance; Functional connectivity; Bonferroni correction; Electroencephalography; Epilepsy; Neuroscience; Medicine; Epilepsy surgery; EEG-fMRI; Neurology; Brain mapping; Psychology; Audiology; Internal medicine; Mathematics","score_opus":0.05062890951208943,"score_gpt":0.25237392573222744,"score_spread":0.20174501622013802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025224306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99253887,0.00028934577,0.0026568135,0.00013009374,0.00001613721,0.00003551546,0.00043471623,0.000044943383,0.0038535842],"genre_scores_gemma":[0.9988392,0.00011009948,0.00038009215,0.000028900256,0.000019788777,0.000011563282,0.00012877311,0.000009349954,0.00047222667],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999385,0.000009316019,0.000006242585,0.000013156725,0.000015753012,0.000017133656],"domain_scores_gemma":[0.99963176,0.00012085534,0.00015039199,0.000027040382,0.000027803646,0.000042151834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018117642,0.00027315726,0.00018257729,0.000670865,0.00022982356,0.000364887,0.00015829338,0.00022779904,0.005651172],"category_scores_gemma":[0.0009930445,0.000079143014,0.00015767604,0.00044980738,0.00040147873,0.0005112521,0.00033046826,0.00035107642,0.00026616405],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004071687,0.00026496098,0.20202562,0.00042422,0.00033640402,0.0090775015,0.0009445488,0.001074956,0.7183574,0.0027232622,0.0018237308,0.05887582],"study_design_scores_gemma":[0.000051805288,0.00044898113,0.9678633,0.000019120615,0.0001052551,0.0065685366,0.00037179713,0.0009177681,0.021014053,0.001669837,0.000957873,0.000011701046],"about_ca_topic_score_codex":0.000755253,"about_ca_topic_score_gemma":0.0017721284,"teacher_disagreement_score":0.005651172,"about_ca_system_score_codex":0.00014558926,"about_ca_system_score_gemma":0.00016188256,"threshold_uncertainty_score":0.018905044},"labels":[],"label_agreement":null},{"id":"W3080933772","doi":"10.1007/s10548-020-00793-2","title":"The Sensitivity of Ear-EEG: Evaluating the Source-Sensor Relationship Using Forward Modeling","year":2020,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Deutsche Forschungsgemeinschaft","keywords":"Electroencephalography; Sensitivity (control systems); EEG-fMRI; SIGNAL (programming language); Computer science; Channel (broadcasting); Brain activity and meditation; Audiology; Psychology; Neuroscience; Medicine; Engineering; Telecommunications; Electronic engineering","score_opus":0.1297765437826707,"score_gpt":0.3196874241865794,"score_spread":0.18991088040390872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080933772","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33135533,0.0003261111,0.6618808,0.00021895109,0.000039560106,0.000078883975,0.00052031886,0.0012140974,0.0043659597],"genre_scores_gemma":[0.9467299,0.00022081993,0.051043686,0.000038809638,0.000006578974,0.00007787802,0.0002851592,0.00010159678,0.0014956215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998839,0.000037339487,0.0000063990196,0.000019312038,0.00003321147,0.000019710766],"domain_scores_gemma":[0.999281,0.0005640337,0.0000330576,0.000046831952,0.00006217558,0.000012862548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064120494,0.00062939676,0.00035588688,0.00038065002,0.00018862112,0.00040717528,0.0005459652,0.00082063564,0.0024450098],"category_scores_gemma":[0.0029312926,0.00027331174,0.0005837067,0.00035094997,0.00032674495,0.0005706637,0.00048784201,0.0005001959,0.00035226328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010538478,0.000026045089,0.0013789696,0.00008240669,0.000041616997,0.00008704686,0.000048918908,0.9702542,0.013089944,0.0011477104,0.00022683362,0.013510919],"study_design_scores_gemma":[0.000004221934,0.000025264897,0.0005837265,0.000004728919,0.0000063580333,0.00003177995,0.000010335255,0.9932881,0.005225382,0.0006129574,0.00020115683,0.0000060897632],"about_ca_topic_score_codex":0.008298753,"about_ca_topic_score_gemma":0.004836416,"teacher_disagreement_score":0.008298753,"about_ca_system_score_codex":0.00034027314,"about_ca_system_score_gemma":0.000425058,"threshold_uncertainty_score":0.01650089},"labels":[],"label_agreement":null},{"id":"W3086729518","doi":"10.1007/s10548-020-00795-0","title":"Sustaining Attention for a Prolonged Duration Affects Dynamic Organizations of Frequency-Specific Functional Connectivity","year":2020,"lang":"en","type":"article","venue":"Brain Topography","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; Dalian University of Technology; National Natural Science Foundation of China","keywords":"Vigilance (psychology); Electroencephalography; Psychology; Stimulus (psychology); Neuroscience; Cognitive psychology; Electrophysiology; Phase lag; Functional connectivity; Audiology; Medicine; Mathematics","score_opus":0.02361931002268247,"score_gpt":0.2509982097756538,"score_spread":0.22737889975297132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086729518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98545176,0.00024247782,0.0132164685,0.000054992044,0.000013152127,0.000020667694,0.00025683624,0.00007476514,0.00066882215],"genre_scores_gemma":[0.99554956,0.00012592871,0.0036252579,0.00001271026,0.000008033618,0.000027654003,0.00027392953,0.000017739827,0.00035917124],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999006,0.000010128313,0.000007717319,0.00003604581,0.000018132909,0.000027315638],"domain_scores_gemma":[0.99967253,0.0001046593,0.0000953422,0.000039563813,0.000046060835,0.000041823674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027452744,0.00024967443,0.00016987711,0.0003626129,0.00014302919,0.00030188897,0.00013187237,0.00017266095,0.0009137183],"category_scores_gemma":[0.0016844872,0.000103344166,0.0002175015,0.00026872792,0.00023421398,0.00031618873,0.00033855718,0.00027806172,0.00008123577],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080251595,0.00010428476,0.033667136,0.00016281554,0.00014024806,0.00025818948,0.0005379456,0.003407721,0.88080794,0.00072599767,0.0005040732,0.07888105],"study_design_scores_gemma":[0.000025218615,0.0007282923,0.89137965,0.000026562902,0.00020181904,0.00043495157,0.00022009066,0.03204795,0.071155444,0.002357703,0.0013795972,0.000042790478],"about_ca_topic_score_codex":0.0023427089,"about_ca_topic_score_gemma":0.0037760593,"teacher_disagreement_score":0.0023427089,"about_ca_system_score_codex":0.00019557899,"about_ca_system_score_gemma":0.00024557146,"threshold_uncertainty_score":0.004658103},"labels":[],"label_agreement":null},{"id":"W3120895981","doi":"10.1007/s10548-020-00817-x","title":"Resting‐State Functional Connectivity and Brain Network Abnormalities in Depressive Patients with Suicidal Ideation","year":2021,"lang":"en","type":"article","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Ministry of Science and Technology, Taiwan","keywords":"Suicidal ideation; Cuneus; Functional magnetic resonance imaging; Resting state fMRI; Psychology; Depression (economics); Psychiatry; Clinical psychology; Medicine; Neuroscience; Audiology; Poison control; Precuneus; Injury prevention","score_opus":0.01661124838913885,"score_gpt":0.22442987299406736,"score_spread":0.2078186246049285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120895981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99955875,0.00007352534,0.0000311168,0.000027635975,0.0000013872161,0.00000388456,0.000051039213,0.0000011467789,0.000251505],"genre_scores_gemma":[0.9997546,0.000045947338,0.000030935644,0.000012161882,0.0000021048195,0.000004005968,0.00007735234,4.1850328e-7,0.00007234062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994147,0.000016808286,0.0000097695965,0.000010773628,0.000010086132,0.000011025604],"domain_scores_gemma":[0.9997619,0.000049778548,0.00011171457,0.0000119507595,0.000028793575,0.000035831377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015275464,0.00018224164,0.00023959707,0.0003877111,0.00023946984,0.0004147022,0.00017410435,0.0003489935,0.0012071324],"category_scores_gemma":[0.0011063631,0.00014903901,0.00016588625,0.00035354708,0.00017148077,0.0002541341,0.0001896749,0.00029364286,0.00012242825],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00088815665,0.00015721227,0.98559374,0.00004219649,0.0002299209,0.00089769234,0.0005620249,0.00019502472,0.0050761863,0.00008584571,0.00014786512,0.006124019],"study_design_scores_gemma":[0.0000163002,0.000087934124,0.9988438,0.0000029964635,0.000031310574,0.00051586074,0.00018100938,0.00016351808,0.000071974195,0.000051962932,0.00003099832,0.000002372311],"about_ca_topic_score_codex":0.0029595783,"about_ca_topic_score_gemma":0.0067583593,"teacher_disagreement_score":0.0029595783,"about_ca_system_score_codex":0.00020143681,"about_ca_system_score_gemma":0.00013514912,"threshold_uncertainty_score":0.005884707},"labels":[],"label_agreement":null},{"id":"W3133875302","doi":"10.1007/s10548-021-00829-1","title":"A Polarity Alignment Method for Group-Averaging of Event-Related Neural Signals at Source Level in MEG Beamforming Applications","year":2021,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polarity (international relations); Waveform; Beamforming; SIGNAL (programming language); Pattern recognition (psychology); Computer science; Artificial intelligence; Magnetoencephalography; Speech recognition; Electroencephalography; Neuroscience; Psychology; Telecommunications; Chemistry","score_opus":0.03229645585835576,"score_gpt":0.2978775330993473,"score_spread":0.2655810772409915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133875302","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018261275,0.00008630344,0.99707854,0.000036621528,0.000046607234,0.000028266559,0.00005285801,0.0004137643,0.00043092805],"genre_scores_gemma":[0.039586794,0.0002533511,0.9574197,0.00007299852,0.00011224068,0.0001346657,0.00033459635,0.00037136074,0.0017142462],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997242,0.000078849414,0.000022152439,0.000052177744,0.00010023264,0.000022379305],"domain_scores_gemma":[0.9995623,0.00015720956,0.00003541382,0.000061888975,0.00016052197,0.00002262515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005124555,0.0007742624,0.0004144947,0.00067390496,0.0004805413,0.0006928454,0.000657711,0.0006813266,0.00602672],"category_scores_gemma":[0.0019743831,0.00035469764,0.00056004873,0.0010981729,0.00022692823,0.00080349157,0.00060924486,0.0010225694,0.002728585],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027130602,0.00011143194,0.00044090222,0.0001958489,0.0000960246,0.00014403471,0.00010003327,0.01299912,0.24171047,0.011425198,0.006758567,0.72574705],"study_design_scores_gemma":[0.000104062005,0.00036326438,0.005397266,0.00004639131,0.00016915707,0.0010245136,0.00009770249,0.74478585,0.18799163,0.017686268,0.0422194,0.00011450303],"about_ca_topic_score_codex":0.0009597066,"about_ca_topic_score_gemma":0.0026811718,"teacher_disagreement_score":0.00602672,"about_ca_system_score_codex":0.00014772559,"about_ca_system_score_gemma":0.00056562736,"threshold_uncertainty_score":0.02016139},"labels":[],"label_agreement":null},{"id":"W3137089624","doi":"10.1007/s10548-021-00826-4","title":"Slow Resting State Fluctuations Enhance Neuronal and Behavioral Responses to Looming Sounds","year":2021,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Looming; Resting state fMRI; Neuroscience; Psychology; Audiology; Cognitive psychology; Medicine","score_opus":0.03252037458864915,"score_gpt":0.3065345146305806,"score_spread":0.2740141400419315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137089624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959751,0.00021151069,0.001957188,0.00006446837,0.00003365876,0.000021718426,0.000071895454,0.000044386616,0.0016201644],"genre_scores_gemma":[0.997809,0.00018362734,0.0006838022,0.000080210215,0.000042303585,0.000028070397,0.000067282504,0.000038289683,0.0010674357],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999224,0.000012005802,0.0000049749115,0.000014012063,0.000017407174,0.000029142386],"domain_scores_gemma":[0.9995567,0.00022438947,0.00006990938,0.000030700594,0.00003131348,0.00008683718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014494805,0.0002960384,0.00028020938,0.00016801106,0.00011761722,0.00033658982,0.00015475259,0.0002684286,0.003208009],"category_scores_gemma":[0.0013297556,0.00018449037,0.0001653851,0.000122162,0.00026013012,0.00030320862,0.0003214307,0.0005341478,0.00026042096],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009656117,0.00009986921,0.0014750946,0.000046260797,0.000020228279,0.00006707575,0.00004418903,0.00011417153,0.9881337,0.00010120315,0.00010933344,0.008823199],"study_design_scores_gemma":[0.00015796465,0.0023690034,0.7912661,0.000042021493,0.00014985804,0.00047514864,0.0002531954,0.0057467367,0.19718482,0.0012198341,0.0011014467,0.00003397744],"about_ca_topic_score_codex":0.00041906186,"about_ca_topic_score_gemma":0.001122168,"teacher_disagreement_score":0.003208009,"about_ca_system_score_codex":0.00011416897,"about_ca_system_score_gemma":0.00012813849,"threshold_uncertainty_score":0.010731876},"labels":[],"label_agreement":null},{"id":"W3138074840","doi":"10.1007/s10548-021-00832-6","title":"Topography-Related EEG-fMRI in Surgically Confirmed Epileptic Foci: A Comparison to Spike-Related EEG-fMRI in Clinical Practice","year":2021,"lang":"en","type":"article","venue":"Brain Topography","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"European Academy of Neurology; Deutsche Forschungsgemeinschaft","keywords":"Electroencephalography; EEG-fMRI; Ictal; Epilepsy; Epilepsy surgery; Lateralization of brain function; Lesion; Audiology; Neuroscience; Psychology; Medicine; Psychiatry","score_opus":0.02608520679478296,"score_gpt":0.3913795926623043,"score_spread":0.3652943858675214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138074840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982294,0.0066909045,0.0063368725,0.0004048901,0.00007289534,0.00008049794,0.00015124142,0.000051823015,0.003916788],"genre_scores_gemma":[0.99602413,0.001626256,0.001995073,0.0000719234,0.000071580514,0.000013148463,0.000050936003,0.000008866118,0.00013792138],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994735,0.00028402318,0.000049305683,0.00008111005,0.00007795927,0.000034160475],"domain_scores_gemma":[0.99802184,0.0012138755,0.00019565881,0.00013192368,0.00032570653,0.000110899695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013267897,0.00027865724,0.00028522927,0.0010399311,0.00013556279,0.0005275144,0.0002959032,0.00070834777,0.00095782126],"category_scores_gemma":[0.007165516,0.000087504,0.00015846462,0.0005372577,0.000327235,0.0007950421,0.0003004754,0.00023079591,0.00020950721],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009541924,0.000587188,0.36794576,0.0016606533,0.0004184704,0.010217028,0.0013156225,0.0025115467,0.12517223,0.0014665287,0.0010626918,0.4781004],"study_design_scores_gemma":[0.0002964178,0.0043837028,0.9357173,0.00017004221,0.00042602784,0.02208099,0.0010961785,0.01047478,0.020532016,0.0015128881,0.0032480995,0.000061560895],"about_ca_topic_score_codex":0.0008750557,"about_ca_topic_score_gemma":0.0017757888,"teacher_disagreement_score":0.0013267897,"about_ca_system_score_codex":0.0002025672,"about_ca_system_score_gemma":0.00027648825,"threshold_uncertainty_score":0.007016778},"labels":[],"label_agreement":null},{"id":"W3152889841","doi":"10.1007/s10548-021-00834-4","title":"Interocular Grouping in Perceptual Rivalry Localized with fMRI","year":2021,"lang":"en","type":"article","venue":"Brain Topography","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal General Hospital; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Binocular rivalry; Rivalry; Psychology; Stimulus (psychology); Neuroscience; Perception; Cognitive psychology; Visual perception","score_opus":0.03545705335003167,"score_gpt":0.29265126057660384,"score_spread":0.25719420722657216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152889841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9489325,0.0020796799,0.042824946,0.00027734897,0.000042788866,0.00011295609,0.00019046996,0.0001645961,0.0053747864],"genre_scores_gemma":[0.98501855,0.00038076093,0.013296398,0.00012562895,0.00004956688,0.00014857214,0.00011094394,0.000025867308,0.00084371644],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99985445,0.000050041344,0.0000052476066,0.00003497689,0.0000151577315,0.00004011367],"domain_scores_gemma":[0.9998764,0.00006616913,0.00001857915,0.000010527919,0.000009175139,0.00001916464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004914768,0.00029244903,0.00015233168,0.0005327622,0.00019490864,0.00023442622,0.00021920679,0.00049170613,0.001232328],"category_scores_gemma":[0.0007052016,0.00016007821,0.00019520789,0.00022938945,0.00050389726,0.0003064998,0.0003240266,0.00047236047,0.00010723989],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004577327,0.000090252295,0.0022471126,0.00014208311,0.00002874191,0.00043781273,0.00014836162,0.0004651982,0.9810503,0.0004765349,0.00014538802,0.014310425],"study_design_scores_gemma":[0.00019645947,0.00279117,0.49730763,0.0001411489,0.0003169046,0.0072210166,0.00057774875,0.03918285,0.43749955,0.009158001,0.0055173617,0.000090191024],"about_ca_topic_score_codex":0.00087883754,"about_ca_topic_score_gemma":0.0014202915,"teacher_disagreement_score":0.001232328,"about_ca_system_score_codex":0.00014922273,"about_ca_system_score_gemma":0.0001652393,"threshold_uncertainty_score":0.0041225553},"labels":[],"label_agreement":null},{"id":"W3161535964","doi":"10.1007/s10548-021-00847-z","title":"What Executive Function Network is that? An Image-Based Meta-Analysis of Network Labels","year":2021,"lang":"en","type":"review","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institutes of Health; National Science Foundation","keywords":"Network analysis; Computer science; Task-positive network; Consistency (knowledge bases); Set (abstract data type); Attention network; Artificial intelligence; Artificial neural network; Cognition; Psychology; Pattern recognition (psychology); Machine learning; Neuroscience; Default mode network","score_opus":0.19247208737880298,"score_gpt":0.36127319109920497,"score_spread":0.168801103720402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161535964","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018831048,0.9746464,0.0034342099,0.00073556195,0.00017537843,0.000068278525,0.0013611123,0.00005073081,0.00069728564],"genre_scores_gemma":[0.45592132,0.5268294,0.010853273,0.0012592232,0.00049010984,0.0003201676,0.0034953312,0.00015500672,0.0006760027],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99681216,0.001627268,0.00041792894,0.0008106475,0.00024829313,0.00008377124],"domain_scores_gemma":[0.9855517,0.011930731,0.0010921631,0.0007128916,0.00059186976,0.000120662735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008453237,0.001913112,0.0043927557,0.0031353647,0.00037751012,0.0020549255,0.0017218024,0.0010494451,0.004002416],"category_scores_gemma":[0.022311555,0.00068361737,0.009214775,0.004345395,0.00066529226,0.0018648276,0.0012563817,0.0014121501,0.0003385641],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025187484,0.00006131612,0.039060317,0.09345597,0.718083,0.0002817555,0.00039414526,0.0013912139,0.0010614403,0.0019345749,0.0038800854,0.13787735],"study_design_scores_gemma":[0.00066446885,0.00028210907,0.07809785,0.016007038,0.87920076,0.00049388176,0.0002445909,0.0013363924,0.0006388514,0.009221583,0.013704999,0.00010748425],"about_ca_topic_score_codex":0.0077644293,"about_ca_topic_score_gemma":0.020908045,"teacher_disagreement_score":0.008453237,"about_ca_system_score_codex":0.001101758,"about_ca_system_score_gemma":0.0013587906,"threshold_uncertainty_score":0.04470551},"labels":[],"label_agreement":null},{"id":"W3174055059","doi":"10.1007/s10548-021-00860-2","title":"Free-Field Cortical Steady-State Evoked Potentials in Cochlear Implant Users","year":2021,"lang":"en","type":"article","venue":"Brain Topography","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; International Laboratory for Brain, Music and Sound Research; Centre for Research on Brain Language and Music; McGill University Health Centre","funders":"European Research Council; Fonds de Recherche du Québec-Société et Culture; Centre for Research on Brain, Language and Music","keywords":"Auditory cortex; Cochlear implant; Audiology; Neuroscience; Psychology; Electroencephalography; Evoked potential; Stimulation; Medicine","score_opus":0.020466935494661068,"score_gpt":0.2773948678737586,"score_spread":0.25692793237909756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174055059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991233,0.000041437488,0.00008445439,0.000010312049,0.0000017382823,0.0000036845158,0.00007984474,0.0000034525756,0.0006518072],"genre_scores_gemma":[0.99952185,0.000027436798,0.000020413132,0.000006298156,0.0000016425679,0.0000036132378,0.000049236078,0.0000015796572,0.0003678036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989784,0.000016148599,0.0000109521225,0.000015053139,0.00002159541,0.00003838294],"domain_scores_gemma":[0.99924517,0.00041151556,0.000083377134,0.00003308833,0.00010526889,0.00012151298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016734705,0.00024509476,0.00019201792,0.00078450894,0.00020880942,0.0004959454,0.00017013095,0.00038143314,0.004453983],"category_scores_gemma":[0.0022163326,0.0001282199,0.0001820287,0.00040852302,0.00028793584,0.00052918406,0.00034083772,0.00026079416,0.0006188461],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004519306,0.0005017174,0.8587808,0.00018838487,0.00011897262,0.0055342317,0.004258041,0.00063092366,0.06746059,0.00037527457,0.0005720377,0.057059668],"study_design_scores_gemma":[0.000007908355,0.00028727297,0.9961265,0.0000044988483,0.000020455593,0.001462956,0.00068475393,0.0002650547,0.00094757613,0.00008600045,0.0000995508,0.000007569075],"about_ca_topic_score_codex":0.0034262356,"about_ca_topic_score_gemma":0.0039115003,"teacher_disagreement_score":0.004453983,"about_ca_system_score_codex":0.00016482951,"about_ca_system_score_gemma":0.00017528518,"threshold_uncertainty_score":0.014900088},"labels":[],"label_agreement":null},{"id":"W3177054158","doi":"10.1007/s10548-021-00855-z","title":"Arousal Fluctuations Govern Oscillatory Transitions Between Dominant $$\\gamma$$ and $$\\alpha$$ Occipital Activity During Eyes Open/Closed Conditions","year":2021,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Ottawa; University Health Network","funders":"National Research Council Canada","keywords":"Arousal; Neuroscience; Psychology; Physics; Electroencephalography; Brain activity and meditation; Reticular activating system; Sensory system; Noise (video); Transition (genetics); Coherence (philosophical gambling strategy); Reticular formation; Computer science; Chemistry; Artificial intelligence; Stimulation; Quantum mechanics","score_opus":0.021466599779432514,"score_gpt":0.273088953189708,"score_spread":0.2516223534102755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177054158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935929,0.00014001416,0.0020720863,0.000031956002,0.000018343613,0.000028029952,0.00032102084,0.000031936015,0.0037637649],"genre_scores_gemma":[0.9988575,0.00006625841,0.00034779857,0.000015143787,0.000011204485,0.000018646586,0.00015826034,0.000024748835,0.00050051435],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999424,0.000010261822,0.000004183678,0.000014862786,0.000010661961,0.000017718856],"domain_scores_gemma":[0.99983835,0.00008386913,0.00002691626,0.000007958305,0.00002003108,0.000022878176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009056951,0.00020940597,0.00014281101,0.00020474572,0.00016302327,0.0005477165,0.00009701581,0.00015089783,0.0030374452],"category_scores_gemma":[0.0011483338,0.0001127276,0.00010648623,0.00017090065,0.0001812471,0.00025661738,0.00024851665,0.0002373364,0.0002646637],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032619562,0.00012502726,0.035838403,0.00018328163,0.00008239419,0.00026827794,0.0009085936,0.0007170837,0.9089712,0.001782348,0.001001344,0.046860076],"study_design_scores_gemma":[0.000055970104,0.0003919396,0.9474047,0.000043162825,0.00006079195,0.00038466387,0.00050532166,0.0073758857,0.040844843,0.0018212887,0.001088009,0.00002351162],"about_ca_topic_score_codex":0.0004717813,"about_ca_topic_score_gemma":0.0011288373,"teacher_disagreement_score":0.0030374452,"about_ca_system_score_codex":0.00008990719,"about_ca_system_score_gemma":0.000080097016,"threshold_uncertainty_score":0.010161281},"labels":[],"label_agreement":null},{"id":"W3181516522","doi":"10.1007/s10548-021-00859-9","title":"Mean-Field Modeling of Brain-Scale Dynamics for the Evaluation of EEG Source-Space Networks","year":2021,"lang":"en","type":"article","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université Libanaise; Agence Universitaire de la Francophonie","keywords":"Electroencephalography; Pipeline (software); Computer science; Context (archaeology); Brain activity and meditation; Scale (ratio); Artificial intelligence; Machine learning; Neuroscience; Psychology; Physics","score_opus":0.049651716532651276,"score_gpt":0.29582391874411346,"score_spread":0.2461722022114622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181516522","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01010385,0.00012336996,0.98877805,0.00006676383,0.000014246489,0.000020203208,0.00008551595,0.00023468753,0.0005732043],"genre_scores_gemma":[0.6729029,0.00068384537,0.32042027,0.00008301509,0.00006769623,0.0003836222,0.00041178404,0.00034644626,0.0047004083],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999167,0.000040217485,0.0000037495242,0.000014933527,0.000017956243,0.0000064951205],"domain_scores_gemma":[0.99950707,0.00036221134,0.00003201704,0.000032266464,0.00004881019,0.0000175712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056366355,0.00051901065,0.00042291448,0.00049762265,0.0003577965,0.00056584843,0.0007336969,0.0008739645,0.0015728349],"category_scores_gemma":[0.0025625424,0.00030446117,0.000600171,0.00059571414,0.0002803018,0.0008176055,0.00031859826,0.00071142224,0.00039294516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032157648,0.000020283625,0.00038459248,0.00003594373,0.000035833556,0.000039594666,0.00003103671,0.96684396,0.004076945,0.009773175,0.00079132034,0.017935293],"study_design_scores_gemma":[8.793388e-7,0.0000027516173,0.00005129867,9.5249453e-7,0.0000014652957,0.0000062348363,0.0000013473021,0.9980356,0.00012784536,0.00166865,0.000101099766,0.0000017376888],"about_ca_topic_score_codex":0.0068770694,"about_ca_topic_score_gemma":0.0075975955,"teacher_disagreement_score":0.0068770694,"about_ca_system_score_codex":0.00046657491,"about_ca_system_score_gemma":0.00061857013,"threshold_uncertainty_score":0.01367408},"labels":[],"label_agreement":null},{"id":"W3190406592","doi":"10.1007/s10548-021-00864-y","title":"Spinal and Cerebral Integration of Noxious Inputs in Left-handed Individuals","year":2021,"lang":"en","type":"article","venue":"Brain Topography","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lateralization of brain function; Nociception; Medicine; N100; Noxious stimulus; Neurology; Stimulation; Upper limb; Audiology; Psychology; Physical medicine and rehabilitation; Anesthesia; Neuroscience; Electroencephalography; Event-related potential; Internal medicine","score_opus":0.01114755622799495,"score_gpt":0.2855495511300382,"score_spread":0.27440199490204326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190406592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988865,0.00007192973,0.00014466351,0.00002581464,0.000002061113,0.0000032420044,0.000065761065,0.000003962082,0.0007961086],"genre_scores_gemma":[0.99961734,0.000024716128,0.00004846332,0.000012049953,0.0000030934623,0.0000029799398,0.000023841418,0.0000014470089,0.00026596632],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999454,0.0000079254205,0.0000036519693,0.0000107265205,0.000010615667,0.00002168878],"domain_scores_gemma":[0.99984026,0.00006560538,0.000038650116,0.000010233549,0.00002246074,0.000022829485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010975488,0.00018532149,0.00016261,0.00037105012,0.0001664641,0.0002989663,0.00009053497,0.00023494443,0.0036946605],"category_scores_gemma":[0.0008490458,0.00009706782,0.00010810934,0.00017002912,0.00024567285,0.00018788017,0.00022117626,0.00013467572,0.00017066907],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0056490498,0.00032361108,0.4517525,0.00024370203,0.00026404118,0.006182985,0.0038178645,0.0014959985,0.45018807,0.0006747397,0.00064744375,0.078759946],"study_design_scores_gemma":[0.000009923326,0.000090426045,0.99808097,0.0000039546185,0.000019017849,0.00045466537,0.00016268123,0.00020912143,0.0008266237,0.00010722844,0.000032769298,0.0000027052697],"about_ca_topic_score_codex":0.006038712,"about_ca_topic_score_gemma":0.011293754,"teacher_disagreement_score":0.006038712,"about_ca_system_score_codex":0.00018302788,"about_ca_system_score_gemma":0.00017340618,"threshold_uncertainty_score":0.012359858},"labels":[],"label_agreement":null},{"id":"W3202136695","doi":"10.1007/s10548-021-00873-x","title":"Emotion, Gender and Gaze Discrimination Tasks do not Differentially Impact the Neural Processing of Angry or Happy Facial Expressions—a Mass Univariate ERP Analysis","year":2021,"lang":"en","type":"article","venue":"Brain Topography","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Facial expression; Psychology; Task (project management); Univariate; Context (archaeology); Cognitive psychology; Cognition; Expression (computer science); Gaze; Computer science; Speech recognition; Artificial intelligence; Communication; Machine learning; Multivariate statistics; Neuroscience","score_opus":0.06063848520586732,"score_gpt":0.3234446443629898,"score_spread":0.26280615915712247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202136695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990195,0.00014790882,0.005213317,0.00012600643,0.00007136787,0.00006160045,0.000691182,0.00008419549,0.0034093114],"genre_scores_gemma":[0.9941963,0.00007585339,0.0018773734,0.000102465136,0.000047911133,0.0001000693,0.00039978544,0.00013647284,0.0030638396],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997055,0.000033657027,0.000015016193,0.0000796044,0.00009671898,0.00006945033],"domain_scores_gemma":[0.99894255,0.00063239405,0.00012504798,0.00010804521,0.000111104426,0.00008082124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053164316,0.00043575992,0.000532666,0.00035974075,0.00026835335,0.0005965619,0.0003662947,0.0003139165,0.008076743],"category_scores_gemma":[0.0033624794,0.00021482362,0.00041445816,0.00028250073,0.00053509895,0.0008086941,0.0004266308,0.0006748362,0.0006264336],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005790576,0.00036821916,0.016188687,0.00012100575,0.00013194373,0.00028842475,0.00047914303,0.00023451763,0.9454736,0.0005338765,0.0009098436,0.029480144],"study_design_scores_gemma":[0.000094332056,0.0013848107,0.95797306,0.000014220851,0.00018767756,0.00061433844,0.0002299011,0.0027807306,0.034511726,0.0010626682,0.0011184276,0.000027983495],"about_ca_topic_score_codex":0.0012844097,"about_ca_topic_score_gemma":0.0023975645,"teacher_disagreement_score":0.008076743,"about_ca_system_score_codex":0.00017719738,"about_ca_system_score_gemma":0.00030201938,"threshold_uncertainty_score":0.027019441},"labels":[],"label_agreement":null},{"id":"W4210367280","doi":"10.1007/s10548-022-00889-x","title":"A Roadmap for Computational Modelling of M/EEG","year":2022,"lang":"en","type":"editorial","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Ottawa; University Health Network","funders":"Charité – Universitätsmedizin Berlin; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Deutsche Forschungsgemeinschaft","keywords":"Electroencephalography; Computer science; Neurology; Artificial intelligence; Machine learning; Psychology; Neuroscience","score_opus":0.030833462874002345,"score_gpt":0.2669725894343312,"score_spread":0.23613912656032887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210367280","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000040210638,0.01193294,0.0033240884,0.045220107,0.93770254,0.000015417407,0.00008161519,0.00015909487,0.0015240129],"genre_scores_gemma":[0.0008821496,0.007730234,0.0014383992,0.016204191,0.967009,0.000033288452,0.00004731974,0.00011042692,0.006544994],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99747807,0.000754732,0.00039065126,0.00029822445,0.00096942415,0.00010892541],"domain_scores_gemma":[0.9643417,0.021563169,0.0007731031,0.0010833173,0.010614917,0.0016238004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007541425,0.002438864,0.0023908403,0.0025854646,0.0017058939,0.00540089,0.0036422317,0.014906105,0.011119239],"category_scores_gemma":[0.02742235,0.0009678303,0.0021711416,0.0008417335,0.0037546558,0.005404272,0.0020067235,0.02236949,0.008307277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041155672,0.00001147826,0.000016963542,0.00033641126,0.000036618196,0.00014581048,0.000014852527,0.00016767408,0.00009469042,0.0038031086,0.97976893,0.015562311],"study_design_scores_gemma":[0.00008268879,0.000036489866,0.00013727836,0.0005741218,0.00007490284,0.000393665,0.000034685214,0.0019191867,0.00030810048,0.032074932,0.9643158,0.000048161895],"about_ca_topic_score_codex":0.0028789449,"about_ca_topic_score_gemma":0.004474251,"teacher_disagreement_score":0.014906105,"about_ca_system_score_codex":0.0020276343,"about_ca_system_score_gemma":0.0027699342,"threshold_uncertainty_score":0.039883316},"labels":[],"label_agreement":null},{"id":"W4210536531","doi":"10.1007/s10548-022-00887-z","title":"Combined Yoga and Transcranial Direct Current Stimulation Increase Functional Connectivity and Synchronization in the Frontal Areas","year":2022,"lang":"en","type":"article","venue":"Brain Topography","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital; Ontario Shores Centre for Mental Health Sciences; University of Toronto","funders":"","keywords":"Transcranial direct-current stimulation; Electroencephalography; Resting state fMRI; Psychology; Neuroscience; Functional connectivity; Physical medicine and rehabilitation; Brain stimulation; Neurology; Functional electrical stimulation; Stimulation; Audiology; Medicine","score_opus":0.023053198584596493,"score_gpt":0.24616474248838285,"score_spread":0.22311154390378635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210536531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99614847,0.00080922514,0.0011244566,0.00011254323,0.00007575175,0.000053925964,0.0000911163,0.000046561756,0.0015380379],"genre_scores_gemma":[0.99542123,0.00053460593,0.0012606741,0.000121025,0.000070030066,0.00016915993,0.000069210364,0.00001868196,0.0023354401],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99992955,0.000013786062,0.0000040383825,0.000023182267,0.000012249701,0.000017187835],"domain_scores_gemma":[0.99988234,0.000058113736,0.000018015093,0.000010340305,0.000007604972,0.000023597184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007250385,0.00040537782,0.00046512324,0.00021795175,0.00015283638,0.00020154305,0.00014156921,0.00025747882,0.005621569],"category_scores_gemma":[0.00048413945,0.00016403242,0.00019797946,0.00015078306,0.0003370884,0.00019097097,0.0002846053,0.00035492616,0.00032540047],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012235221,0.0012462055,0.0037611283,0.00024300974,0.00021209315,0.00022162106,0.00030975128,0.00010981746,0.9346712,0.00012023318,0.00044223404,0.04642739],"study_design_scores_gemma":[0.002801657,0.035144195,0.85050285,0.00011038888,0.00072140724,0.0011286328,0.0010439676,0.0020880844,0.10192549,0.0008904861,0.00360233,0.00004055028],"about_ca_topic_score_codex":0.00096851005,"about_ca_topic_score_gemma":0.002424032,"teacher_disagreement_score":0.005621569,"about_ca_system_score_codex":0.00012384629,"about_ca_system_score_gemma":0.00019554098,"threshold_uncertainty_score":0.01880604},"labels":[],"label_agreement":null},{"id":"W4225253140","doi":"10.1007/s10548-022-00898-w","title":"Modeling the Hemodynamic Response Function Using EEG-fMRI Data During Eyes-Open Resting-State Conditions and Motor Task Execution","year":2022,"lang":"en","type":"article","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish Rehabilitation Hospital; McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"EEG-fMRI; Resting state fMRI; Electroencephalography; Functional magnetic resonance imaging; Neuroscience; Computer science; Blood-oxygen-level dependent; Artificial intelligence; Pattern recognition (psychology); Psychology","score_opus":0.06531357800113698,"score_gpt":0.30396852934752877,"score_spread":0.2386549513463918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225253140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84445745,0.00012973715,0.15283567,0.0001275591,0.000029109446,0.00005416466,0.00043012277,0.00042122236,0.0015150208],"genre_scores_gemma":[0.99274915,0.00005298459,0.0062930062,0.000011008716,0.000006270352,0.000041740226,0.00016556888,0.000026202873,0.00065414386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99996996,0.0000064636424,0.0000015303395,0.000010919464,0.000004701938,0.0000064379706],"domain_scores_gemma":[0.9999199,0.000055180066,0.000007774037,0.0000049121595,0.000008063101,0.0000041877834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000107575106,0.00034339837,0.00015479598,0.00015445481,0.00012348486,0.00026114003,0.00024199068,0.0002957447,0.0010065755],"category_scores_gemma":[0.0006822073,0.00015002883,0.00032970012,0.0001522669,0.00009571683,0.00024550426,0.00007854305,0.0002558076,0.00019846142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081744883,0.00042290313,0.015595402,0.00017402034,0.00023236181,0.00038953774,0.00019945005,0.76673055,0.1530236,0.0016553387,0.00155593,0.059203573],"study_design_scores_gemma":[0.000011033972,0.00008075572,0.012910624,0.0000025552383,0.000022810631,0.000052350075,0.000018014518,0.979533,0.006634231,0.0005346653,0.00019009448,0.00000977414],"about_ca_topic_score_codex":0.010172361,"about_ca_topic_score_gemma":0.013929888,"teacher_disagreement_score":0.010172361,"about_ca_system_score_codex":0.00020743524,"about_ca_system_score_gemma":0.0004152952,"threshold_uncertainty_score":0.0202263},"labels":[],"label_agreement":null},{"id":"W4254802455","doi":"10.1007/s10548-008-0073-2","title":"Correspondence of Visual Evoked Potentials with FMRI Signals in Human Visual Cortex","year":2008,"lang":"en","type":"article","venue":"Brain Topography","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Izaak Walton Killam Health Centre; Dalhousie University","funders":"","keywords":"Visual cortex; Neuroscience; Psychology; Visual system; Visual perception; Evoked potential; Visual evoked potentials; Perception","score_opus":0.03701459024017476,"score_gpt":0.3249995055561505,"score_spread":0.2879849153159757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254802455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8670756,0.0018944802,0.10392337,0.0007233451,0.00016281466,0.00018590898,0.0007928418,0.00056279934,0.024678806],"genre_scores_gemma":[0.9934302,0.00018726432,0.004735355,0.000091978065,0.00007969663,0.000036793033,0.00012245646,0.00006141722,0.0012548094],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998159,0.00007096526,0.000007463089,0.000040054936,0.00003907825,0.000026579988],"domain_scores_gemma":[0.9984357,0.0011424158,0.000108892185,0.000108922715,0.00014374619,0.00006034567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040605426,0.00020749003,0.00015472618,0.0006706841,0.00022024025,0.0007361373,0.00029179067,0.00067219906,0.0046319114],"category_scores_gemma":[0.008402081,0.00025905596,0.00018344038,0.00062515953,0.00032961305,0.0007235925,0.00032046717,0.00047744866,0.0007099765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020138582,0.00013170205,0.01655207,0.00028885133,0.00010421113,0.0015876433,0.000558358,0.0038885137,0.8686897,0.0098752435,0.0015038645,0.09480602],"study_design_scores_gemma":[0.00018450088,0.00054547907,0.7750896,0.000074090574,0.000113637565,0.011087043,0.000355164,0.029121786,0.14832036,0.03156404,0.003479829,0.00006453956],"about_ca_topic_score_codex":0.00056949654,"about_ca_topic_score_gemma":0.0008106499,"teacher_disagreement_score":0.0046319114,"about_ca_system_score_codex":0.00015588407,"about_ca_system_score_gemma":0.00017745032,"threshold_uncertainty_score":0.0154953},"labels":[],"label_agreement":null},{"id":"W4309328427","doi":"10.1007/s10548-022-00929-6","title":"Trait Aggression is Reflected by a Lower Temporal Stability of EEG Resting Networks","year":2022,"lang":"en","type":"article","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Leibniz-Institut für Arbeitsforschung an der TU Dortmund","keywords":"Ministate; Aggression; Trait; Psychology; Electroencephalography; Resting state fMRI; Developmental psychology; Cognitive psychology; Neuroscience","score_opus":0.03364953909084727,"score_gpt":0.27162918396342256,"score_spread":0.23797964487257528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309328427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949903,0.00016877479,0.0024919487,0.000059995993,0.0000082186325,0.0000116038655,0.0003340288,0.000032964253,0.0019023543],"genre_scores_gemma":[0.9984395,0.000084198815,0.00077571993,0.000019718947,0.000009798091,0.000014326464,0.00022860823,0.000010627029,0.00041750065],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998735,0.00002237027,0.000011248114,0.000044724693,0.000026190386,0.000021958667],"domain_scores_gemma":[0.99943465,0.00016714916,0.00024938548,0.000049612758,0.000047856352,0.00005131491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020281284,0.00019168829,0.00016616739,0.00040148848,0.00012544871,0.00043550163,0.00009761966,0.0001936815,0.0022221718],"category_scores_gemma":[0.001669568,0.00012905682,0.00013959507,0.00031560537,0.00018359786,0.00022963848,0.00019993243,0.00023294566,0.00019920383],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015812638,0.00018070807,0.4864871,0.00019279192,0.00050704327,0.00075643987,0.0014575826,0.0013698696,0.44736442,0.0009684716,0.0010130082,0.058121186],"study_design_scores_gemma":[0.0000027350354,0.000066825094,0.996415,0.000004504059,0.000020506193,0.00025759503,0.00007824725,0.00071811414,0.0019954569,0.00025652,0.00017920983,0.0000052283585],"about_ca_topic_score_codex":0.001079718,"about_ca_topic_score_gemma":0.0025490301,"teacher_disagreement_score":0.0022221718,"about_ca_system_score_codex":0.00010079692,"about_ca_system_score_gemma":0.000077709024,"threshold_uncertainty_score":0.007433951},"labels":[],"label_agreement":null},{"id":"W4313237609","doi":"10.1007/s10548-022-00935-8","title":"fMRIflows: A Consortium of Fully Automatic Univariate and Multivariate fMRI Processing Pipelines","year":2022,"lang":"en","type":"article","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University; International Laboratory for Brain, Music and Sound Research; Montreal Neurological Institute and Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Mental Health; National Institutes of Health; European Research Council; Université de Lausanne; Canada First Research Excellence Fund; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Univariate; Computer science; Preprocessor; Neuroimaging; Artificial intelligence; Pipeline transport; Pipeline (software); Data mining; Multivariate statistics; Machine learning; Pattern recognition (psychology); Engineering; Psychology","score_opus":0.024379011855579655,"score_gpt":0.2615553408579261,"score_spread":0.23717632900234642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313237609","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004462941,0.0008932894,0.63218796,0.00086457515,0.0003012439,0.0009852885,0.016669411,0.3394554,0.004180029],"genre_scores_gemma":[0.04382677,0.0013238116,0.7721126,0.0019677998,0.00037000372,0.005443926,0.07431943,0.09300135,0.007634334],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959384,0.00082108274,0.00053536776,0.0011896861,0.0011320033,0.0003834409],"domain_scores_gemma":[0.9863259,0.0045327214,0.0009435154,0.0033711982,0.0037235848,0.001103056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013325298,0.004554144,0.0021964514,0.0058185803,0.0018079447,0.003699531,0.005605537,0.0019859087,0.029513136],"category_scores_gemma":[0.031017816,0.0031975005,0.0036983711,0.0028945135,0.0019317836,0.005148447,0.007422089,0.0036426,0.022518614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035174515,0.00030823873,0.005301285,0.0021437255,0.0009914769,0.0011293591,0.0014248362,0.013710509,0.03193708,0.02390421,0.47787097,0.43776095],"study_design_scores_gemma":[0.0015778845,0.00064994296,0.015318451,0.0009650135,0.00055547577,0.0026290992,0.00033791785,0.21840204,0.10542842,0.13609974,0.516556,0.0014799999],"about_ca_topic_score_codex":0.0050071618,"about_ca_topic_score_gemma":0.004922616,"teacher_disagreement_score":0.029513136,"about_ca_system_score_codex":0.0014176538,"about_ca_system_score_gemma":0.008692229,"threshold_uncertainty_score":0.09873134},"labels":[],"label_agreement":null},{"id":"W4381149443","doi":"10.1007/s10548-023-00976-7","title":"Linear and Non-linear Analyses of EEG in a Group of ASD Children During Resting State Condition","year":2023,"lang":"en","type":"article","venue":"Brain Topography","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Agencia Estatal de Investigación; Junta de Andalucía; Universidad de Sevilla","keywords":"Autism spectrum disorder; Electroencephalography; Resting state fMRI; Audiology; Autism; Neurophysiology; Psychology; Intelligence quotient; Alpha (finance); Mathematics; Statistics; Developmental psychology; Neuroscience; Medicine; Cognition; Psychometrics","score_opus":0.032328984162455866,"score_gpt":0.3197027179482844,"score_spread":0.28737373378582853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381149443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99924004,0.000034003744,0.00042150848,0.000003998507,0.0000014114795,0.0000050335316,0.00011045861,0.000009291276,0.00017424425],"genre_scores_gemma":[0.99906963,0.00002981827,0.00046206632,0.000002860328,0.0000034425698,0.000014529506,0.0003043103,0.000006083173,0.00010733334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999759,0.000047858008,0.000022196436,0.000076020224,0.00006140082,0.000033560234],"domain_scores_gemma":[0.9992924,0.0003356246,0.00013845564,0.00006218489,0.00011138197,0.000059943664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002167905,0.0002559332,0.00028124356,0.00061051204,0.00014671976,0.00021277634,0.00010616887,0.00015610839,0.0007392837],"category_scores_gemma":[0.0018806993,0.000083474224,0.00020321025,0.00034413082,0.00023934248,0.00020956235,0.00027805482,0.00014472059,0.00014134274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015342837,0.00022143203,0.8536674,0.00013043563,0.00023443354,0.0011243261,0.0017632337,0.00079419935,0.08632228,0.00010995824,0.00027218842,0.053825695],"study_design_scores_gemma":[0.000005138787,0.00019418706,0.99709404,0.0000017235695,0.000015903901,0.000528847,0.0002287535,0.00042256448,0.0013641537,0.000023168195,0.00011740348,0.0000040134664],"about_ca_topic_score_codex":0.0014195836,"about_ca_topic_score_gemma":0.002055919,"teacher_disagreement_score":0.0014195836,"about_ca_system_score_codex":0.0001224823,"about_ca_system_score_gemma":0.00010189067,"threshold_uncertainty_score":0.0028226972},"labels":[],"label_agreement":null},{"id":"W4383301701","doi":"10.1007/s10548-023-00986-5","title":"Generative Adversarial Network (GAN) for Simulating Electroencephalography","year":2023,"lang":"en","type":"article","venue":"Brain Topography","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"University of British Columbia","keywords":"Electroencephalography; Computer science; Artificial intelligence; Generative grammar; Neuroimaging; Pattern recognition (psychology); Generative model; Brain activity and meditation; Replicate; Machine learning; Psychology; Neuroscience; Mathematics","score_opus":0.029511791021549886,"score_gpt":0.2914932588406995,"score_spread":0.2619814678191496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383301701","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015604761,0.00019968076,0.9812294,0.00021833477,0.00006948309,0.00002476648,0.00017508307,0.00078828493,0.0016901912],"genre_scores_gemma":[0.8370685,0.00032878452,0.15476075,0.00025123367,0.000094469135,0.00013278029,0.00063975266,0.00018871651,0.0065350737],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999861,0.000053162352,0.0000049797563,0.000034159384,0.000027476906,0.000019085734],"domain_scores_gemma":[0.99952304,0.00034870376,0.000026225485,0.00003241805,0.000052503947,0.000017121018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041455336,0.000531763,0.00044098884,0.00023809569,0.00013307352,0.00030896513,0.00074188155,0.00080085435,0.0017710759],"category_scores_gemma":[0.0019333629,0.00030753485,0.00040843658,0.0003706003,0.00033088124,0.00034102963,0.00058484526,0.0013040246,0.00047338684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004750647,0.00001617967,0.00034854712,0.000021533438,0.00002279831,0.000045637407,0.00001762574,0.9671019,0.001650502,0.0045774407,0.0013076826,0.024842616],"study_design_scores_gemma":[0.0000013050729,0.00000294419,0.00004168655,9.948916e-7,0.0000014942528,0.000007920278,8.022934e-7,0.9985886,0.00020566054,0.0010353557,0.00011201421,0.0000012070204],"about_ca_topic_score_codex":0.0054977806,"about_ca_topic_score_gemma":0.0063709407,"teacher_disagreement_score":0.0054977806,"about_ca_system_score_codex":0.00036816206,"about_ca_system_score_gemma":0.0003719121,"threshold_uncertainty_score":0.010931551},"labels":[],"label_agreement":null},{"id":"W4383302091","doi":"10.1007/s10548-023-00982-9","title":"On the Reliability of the EEG Microstate Approach","year":2023,"lang":"en","type":"article","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Leibniz-Gemeinschaft; Leibniz-Institut für Arbeitsforschung an der TU Dortmund","keywords":"Ministate; Reliability (semiconductor); Electroencephalography; Psychology; Artificial intelligence; Consistency (knowledge bases); Pattern recognition (psychology); Computer science; Statistics; Mathematics; Neuroscience; Physics","score_opus":0.030545841143761465,"score_gpt":0.24656613873094402,"score_spread":0.21602029758718255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383302091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7367514,0.009564719,0.21745822,0.0016591683,0.0014372825,0.0009669144,0.0024647007,0.00065143907,0.029046146],"genre_scores_gemma":[0.97321224,0.00067505747,0.021798683,0.0003152377,0.00032539674,0.0006097048,0.00134143,0.0002733671,0.0014489709],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9211351,0.04567504,0.0055326764,0.011876605,0.014654724,0.0011258661],"domain_scores_gemma":[0.6429488,0.2568562,0.020457972,0.032733783,0.045754116,0.0012491266],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08891828,0.0009537711,0.0011451347,0.002641021,0.0012779897,0.0031327577,0.0017363111,0.001658276,0.0014037832],"category_scores_gemma":[0.24998078,0.0007365903,0.0020152472,0.002536456,0.003008518,0.002558251,0.0033365344,0.0018353516,0.0012393236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002982391,0.000260213,0.7665294,0.0014617683,0.0045980853,0.00029728483,0.012067262,0.009589445,0.0065344125,0.007189581,0.0051255208,0.18336457],"study_design_scores_gemma":[0.00016629272,0.001815746,0.90726465,0.0009315619,0.0015442533,0.0012839583,0.0035602269,0.037466615,0.007920448,0.01795981,0.01977556,0.00031084495],"about_ca_topic_score_codex":0.003494952,"about_ca_topic_score_gemma":0.0037475424,"teacher_disagreement_score":0.91108173,"about_ca_system_score_codex":0.0008717282,"about_ca_system_score_gemma":0.00086654926,"threshold_uncertainty_score":0.47025043},"labels":[],"label_agreement":null},{"id":"W4384342623","doi":"10.1007/s10548-023-00988-3","title":"Normative Intercorrelations Between EEG Microstate Characteristics","year":2023,"lang":"en","type":"article","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Leibniz-Gemeinschaft; Leibniz-Institut für Arbeitsforschung an der TU Dortmund","keywords":"Ministate; Electroencephalography; Normative; Psychology; Default mode network; Cognitive psychology; Neuroscience; Functional magnetic resonance imaging","score_opus":0.029158938546969285,"score_gpt":0.2698039992745792,"score_spread":0.24064506072760994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384342623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963987,0.00015059552,0.001723615,0.000013065293,0.0000059614417,0.000038263282,0.00056005665,0.00002825006,0.0010815397],"genre_scores_gemma":[0.9976966,0.000065471904,0.0010850289,0.000006794844,0.000006488813,0.00007978032,0.00087332603,0.000011451125,0.00017496762],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917406,0.00019723849,0.00016672547,0.00023000105,0.00018474144,0.00004722942],"domain_scores_gemma":[0.994835,0.002133564,0.0012436818,0.00080066925,0.0008285532,0.00015851423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009956729,0.00024814042,0.00026063557,0.0010584459,0.00022539981,0.00037235254,0.00022204047,0.0002643855,0.0013269546],"category_scores_gemma":[0.008053945,0.00011168418,0.00019255218,0.00077305926,0.00035280117,0.00033667698,0.00047029604,0.00018773512,0.0002659573],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002710204,0.00005754684,0.96610993,0.00007082514,0.0001598159,0.00016008454,0.0011155049,0.00022849995,0.010740364,0.00021716996,0.00038991205,0.02047923],"study_design_scores_gemma":[0.000002245657,0.000055190812,0.99845934,0.0000034856325,0.000013579515,0.0003366822,0.00018940849,0.00013373875,0.00046208367,0.00012728052,0.00021366826,0.0000033543706],"about_ca_topic_score_codex":0.0006113974,"about_ca_topic_score_gemma":0.0013655233,"teacher_disagreement_score":0.0013269546,"about_ca_system_score_codex":0.0001308263,"about_ca_system_score_gemma":0.00008676251,"threshold_uncertainty_score":0.005265653},"labels":[],"label_agreement":null},{"id":"W4385380494","doi":"10.1007/s10548-023-00993-6","title":"EEG-Meta-Microstates: Towards a More Objective Use of Resting-State EEG Microstate Findings Across Studies","year":2023,"lang":"en","type":"article","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Alberta","funders":"National Institute of Mental Health; University of Bern","keywords":"Ministate; Electroencephalography; Resting state fMRI; Psychology; EEG-fMRI; Neuroscience; Audiology; Medicine","score_opus":0.11498419127083069,"score_gpt":0.3500712724196284,"score_spread":0.23508708114879767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385380494","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11302156,0.019842476,0.7751525,0.0038429277,0.00068126846,0.0023480228,0.057106588,0.0171232,0.010881449],"genre_scores_gemma":[0.33287883,0.003730749,0.6368396,0.00050114095,0.0004406503,0.0046483437,0.01717506,0.0027718134,0.0010138287],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.96591514,0.014876741,0.008034137,0.006872116,0.003920484,0.00038137572],"domain_scores_gemma":[0.7709662,0.13719189,0.040120494,0.03144298,0.018069576,0.0022087947],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07923182,0.0024466887,0.0030263972,0.0478589,0.0009705247,0.011680997,0.0027944657,0.0012318663,0.007463434],"category_scores_gemma":[0.20803837,0.0012129943,0.0037590207,0.035785507,0.0016244117,0.010387765,0.009231347,0.0018020682,0.0015603594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016152124,0.00018693805,0.12733616,0.057160575,0.031506486,0.001347639,0.030339776,0.0038186875,0.025903117,0.022173285,0.03946053,0.6591516],"study_design_scores_gemma":[0.0006380783,0.0010713289,0.51081944,0.017713265,0.019095417,0.004258123,0.020244118,0.018586023,0.019918492,0.17215386,0.2141629,0.0013390296],"about_ca_topic_score_codex":0.0011915007,"about_ca_topic_score_gemma":0.0029308258,"teacher_disagreement_score":0.9207682,"about_ca_system_score_codex":0.00130594,"about_ca_system_score_gemma":0.0023003882,"threshold_uncertainty_score":0.41902292},"labels":[],"label_agreement":null},{"id":"W4385406163","doi":"10.1007/s10548-023-00987-4","title":"EEG Microstates in Social and Affective Neuroscience","year":2023,"lang":"en","type":"review","venue":"Brain Topography","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"European Research Council","keywords":"Electroencephalography; Social neuroscience; Psychology; Facial expression; Perception; Cognitive psychology; Cognition; Field (mathematics); Cognitive neuroscience; Gaze; Social cognition; Neuroscience; Communication","score_opus":0.07933775237298221,"score_gpt":0.35126902418571654,"score_spread":0.27193127181273435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385406163","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011955617,0.99805236,0.0003035305,0.00026607464,0.00021588149,0.000004748317,0.000019142873,0.000009753633,0.0010090261],"genre_scores_gemma":[0.0009594423,0.99790585,0.00030077263,0.00014957412,0.0002009897,0.000009942896,0.00003199521,0.0000023274624,0.00043903725],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997732,0.000048827005,0.000040334042,0.000049273174,0.0000711578,0.00001729844],"domain_scores_gemma":[0.99939704,0.00036333263,0.000062133666,0.000020625885,0.00012692444,0.000029966926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093632564,0.0013143453,0.001481606,0.0034230978,0.00030160707,0.0014177731,0.0010075254,0.0013620458,0.0030877495],"category_scores_gemma":[0.0013291548,0.0003924252,0.0006649211,0.0035228294,0.0009906141,0.0019827008,0.0009657196,0.00185944,0.0020960823],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060502924,0.00004472759,0.00028595768,0.02126037,0.00014177614,0.00017344241,0.00009910822,0.0004632114,0.0018084132,0.00624799,0.016190788,0.9532237],"study_design_scores_gemma":[0.00002132898,0.00011371568,0.004699638,0.009764799,0.0003051018,0.002440833,0.00016584253,0.0003058689,0.0009380967,0.012899711,0.9682852,0.000059866485],"about_ca_topic_score_codex":0.0017558277,"about_ca_topic_score_gemma":0.0021971036,"teacher_disagreement_score":0.0034230978,"about_ca_system_score_codex":0.00085338677,"about_ca_system_score_gemma":0.001378312,"threshold_uncertainty_score":0.010329604},"labels":[],"label_agreement":null},{"id":"W4386590551","doi":"10.1007/s10548-023-01003-5","title":"MICROSTATELAB: The EEGLAB Toolbox for Resting-State Microstate Analysis","year":2023,"lang":"en","type":"article","venue":"Brain Topography","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Bern","keywords":"Ministate; Computer science; Toolbox; Resting state fMRI; Artificial intelligence; Electroencephalography; Pattern recognition (psychology); Psychology; Neuroscience","score_opus":0.028249542964963233,"score_gpt":0.29262696632182805,"score_spread":0.2643774233568648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386590551","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017882576,0.001087569,0.74864715,0.00033164618,0.00034668559,0.0003303795,0.052402735,0.18855667,0.006508869],"genre_scores_gemma":[0.026739698,0.002182933,0.7373333,0.0010265448,0.00036005396,0.0045050336,0.10741559,0.10444994,0.015986938],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99926203,0.00016550143,0.00011193379,0.00016399797,0.00024181596,0.000054649023],"domain_scores_gemma":[0.99770063,0.0010236596,0.0002085161,0.00045783794,0.0005063557,0.00010304316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001656153,0.0023080672,0.00095320656,0.0021574867,0.00038089952,0.0022010722,0.0022543094,0.001028038,0.120678045],"category_scores_gemma":[0.00987254,0.0010841143,0.0014310981,0.0016799098,0.0003873487,0.0020009752,0.0024829581,0.002192082,0.07513723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004068882,0.00007697244,0.0010967699,0.0024921766,0.00028824407,0.00039039314,0.0003689637,0.007015707,0.014752245,0.009655981,0.6693468,0.29410884],"study_design_scores_gemma":[0.00038740525,0.00016195004,0.010369193,0.00097131997,0.00018422221,0.0016007127,0.00021192887,0.07344538,0.024187714,0.070193574,0.81788206,0.00040454374],"about_ca_topic_score_codex":0.0016923164,"about_ca_topic_score_gemma":0.003249211,"teacher_disagreement_score":0.120678045,"about_ca_system_score_codex":0.00034420908,"about_ca_system_score_gemma":0.0012274021,"threshold_uncertainty_score":0.40370828},"labels":[],"label_agreement":null},{"id":"W4387798342","doi":"10.1007/s10548-023-01012-4","title":"Correction: Normative Intercorrelations between EEG Microstate Characteristics","year":2023,"lang":"en","type":"erratum","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Ministate; Normative; Electroencephalography; Psychology; Cognitive psychology; Cognitive science; Neuroscience; Philosophy; Epistemology","score_opus":0.03253252917231417,"score_gpt":0.27580775659514617,"score_spread":0.243275227422832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387798342","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028552695,0.0016218799,0.0106067965,0.046193685,0.89057887,0.00022679305,0.025446342,0.0059401086,0.016530296],"genre_scores_gemma":[0.096447475,0.004260156,0.06517966,0.03177189,0.10652936,0.0013726519,0.03199811,0.017422412,0.6450183],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99474674,0.0008066046,0.0014780259,0.00081461156,0.0017852316,0.00036869248],"domain_scores_gemma":[0.943066,0.013711128,0.003013978,0.0077952924,0.031120988,0.0012927157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044763777,0.003179328,0.0018736663,0.006546629,0.002500564,0.0024087606,0.0037023458,0.0037261578,0.19452572],"category_scores_gemma":[0.12295238,0.0012906657,0.0014219561,0.0049759923,0.0016895449,0.002492174,0.0021132254,0.0061036972,0.08199434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009747795,0.000010194797,0.0004214836,0.0002849072,0.000028496277,0.0004261285,0.0000636491,0.000056203142,0.00018985085,0.0009835933,0.9837788,0.013659143],"study_design_scores_gemma":[0.00018066053,0.000060964758,0.007856136,0.0009134852,0.00012906622,0.0032553617,0.0003445158,0.0013177559,0.0027644504,0.006917446,0.9761078,0.00015233758],"about_ca_topic_score_codex":0.015089678,"about_ca_topic_score_gemma":0.020862253,"teacher_disagreement_score":0.19452572,"about_ca_system_score_codex":0.0020787804,"about_ca_system_score_gemma":0.0027938066,"threshold_uncertainty_score":0.6507534},"labels":[],"label_agreement":null},{"id":"W4389454614","doi":"10.1007/s10548-023-01020-4","title":"Correlation of Cognitive Reappraisal and the Microstructural Properties of the Forceps Minor: A Deductive Exploratory Diffusion Tensor Imaging Study","year":2023,"lang":"en","type":"article","venue":"Brain Topography","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Fractional anisotropy; Diffusion MRI; Statistical parametric mapping; Psychology; White matter; Correlation; Population; Medicine; Mathematics; Magnetic resonance imaging; Radiology; Geometry","score_opus":0.03841103299032861,"score_gpt":0.31331938363475276,"score_spread":0.27490835064442415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389454614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99863774,0.000050213643,0.00053486944,0.000058559584,0.0000055560154,0.000031184965,0.00006926879,0.0000059536615,0.0006065347],"genre_scores_gemma":[0.9993358,0.00003275694,0.0003602473,0.000012962585,0.0000117285335,0.000010854168,0.000042329062,0.000005770177,0.00018767676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948645,0.00012671687,0.000048569218,0.000115958464,0.00015766741,0.000064655804],"domain_scores_gemma":[0.9901608,0.00446945,0.0026144555,0.0014494297,0.0009531517,0.00035262952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021112103,0.0007441874,0.0004057248,0.001218145,0.000646854,0.0010020073,0.00077284226,0.0005356016,0.002814569],"category_scores_gemma":[0.022077518,0.0004320014,0.0003552672,0.0006857936,0.001323439,0.0011728995,0.0007603876,0.0011040984,0.0003296536],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029429207,0.0010851368,0.9119801,0.0001697157,0.0005895054,0.0031981787,0.009263186,0.0010558198,0.032882996,0.0014177174,0.00043686057,0.034977842],"study_design_scores_gemma":[0.000037847352,0.0005857702,0.9892532,0.000011149056,0.00014210602,0.0023408227,0.0017829138,0.0018793467,0.002305877,0.0013135285,0.00030763476,0.000039791743],"about_ca_topic_score_codex":0.0054844897,"about_ca_topic_score_gemma":0.0043580765,"teacher_disagreement_score":0.0054844897,"about_ca_system_score_codex":0.0003617759,"about_ca_system_score_gemma":0.0009771604,"threshold_uncertainty_score":0.011165261},"labels":[],"label_agreement":null},{"id":"W4394686985","doi":"10.1007/s10548-024-01044-4","title":"Adapted Beamforming: A Robust and Flexible Approach for Removing Various Types of Artifacts from TMS–EEG Data","year":2024,"lang":"en","type":"article","venue":"Brain Topography","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"HORIZON EUROPE European Research Council; Tekniikan Edistämissäätiö; Aalto-Yliopisto; Academy of Finland; Deutsche Forschungsgemeinschaft","keywords":"Electroencephalography; Computer science; Artificial intelligence; Beamforming; Pattern recognition (psychology); Speech recognition; Psychology; Neuroscience; Telecommunications","score_opus":0.0582423085842378,"score_gpt":0.2873244978585982,"score_spread":0.22908218927436041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394686985","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010966611,0.00007643292,0.99795026,0.000039446262,0.000017718683,0.000027608905,0.0000395224,0.0005417097,0.0002106488],"genre_scores_gemma":[0.03355814,0.00033424151,0.9643239,0.00010212015,0.000045478588,0.00014057064,0.00033791098,0.0002482193,0.0009094851],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989293,0.0002737148,0.00009267688,0.00019032878,0.00044444102,0.0000695301],"domain_scores_gemma":[0.9991953,0.00023478478,0.000078376055,0.00020882906,0.00024158267,0.000041133706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011630983,0.0015007071,0.000653477,0.0010393902,0.00036602034,0.0007679423,0.0011422787,0.0009526205,0.002547107],"category_scores_gemma":[0.0031444873,0.0004553495,0.0010771501,0.0012303038,0.0006447155,0.001092101,0.0015155071,0.0012216282,0.0020790664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023791652,0.000068910325,0.0006745344,0.0002925575,0.00018510873,0.0003282943,0.00024386791,0.06913267,0.30804634,0.0127171725,0.0046372963,0.6034354],"study_design_scores_gemma":[0.00007318573,0.00030905133,0.0026311583,0.000104110484,0.000119020886,0.001252652,0.00011963448,0.7710775,0.17094295,0.020488914,0.032677747,0.00020407552],"about_ca_topic_score_codex":0.0012112233,"about_ca_topic_score_gemma":0.0018886279,"teacher_disagreement_score":0.002547107,"about_ca_system_score_codex":0.0002565371,"about_ca_system_score_gemma":0.00063457555,"threshold_uncertainty_score":0.008520961},"labels":[],"label_agreement":null},{"id":"W4400917971","doi":"10.1007/s10548-024-01068-w","title":"Effects of Inversion and Fixation Location on the Processing of Face and House Stimuli – A Mass Univariate Analysis","year":2024,"lang":"en","type":"article","venue":"Brain Topography","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Univariate; Psychology; Artificial intelligence; Computer science; Audiology; Mathematics; Statistics; Medicine; Multivariate statistics","score_opus":0.02234184205592986,"score_gpt":0.266764496990694,"score_spread":0.24442265493476412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400917971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948224,0.00006118707,0.003809621,0.00002704252,0.000020311245,0.00002774016,0.00016879829,0.00007400495,0.0009889588],"genre_scores_gemma":[0.99573755,0.000057692258,0.0023657458,0.000028041044,0.00002834408,0.000047739744,0.00030110014,0.000114064336,0.0013197379],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99957377,0.00010273356,0.000021778013,0.00009945169,0.00010593021,0.000096335454],"domain_scores_gemma":[0.9968144,0.0024984968,0.00016073127,0.00018150124,0.00016897588,0.0001758731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084368803,0.00051539164,0.0006579897,0.00052798796,0.0002628734,0.0005228614,0.00036021383,0.0002805427,0.006538512],"category_scores_gemma":[0.003966405,0.00021690445,0.00059028744,0.00054075924,0.0006214331,0.00054343184,0.0004288741,0.0006879419,0.0004280758],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.015686791,0.000476932,0.023079935,0.000112123664,0.00024864858,0.00029466485,0.000546197,0.0007552453,0.92917997,0.00040501947,0.00040210184,0.028812306],"study_design_scores_gemma":[0.00015479229,0.003700844,0.9138236,0.000014086506,0.00040793853,0.0007480788,0.00028139155,0.012619438,0.06669006,0.0007498166,0.00074966426,0.000060344533],"about_ca_topic_score_codex":0.0027444644,"about_ca_topic_score_gemma":0.0026652012,"teacher_disagreement_score":0.006538512,"about_ca_system_score_codex":0.00023379718,"about_ca_system_score_gemma":0.00039481212,"threshold_uncertainty_score":0.021873474},"labels":[],"label_agreement":null},{"id":"W4403129454","doi":"10.1007/s10548-024-01078-8","title":"Distinct Longitudinal Changes in EEG Measures Reflecting Functional Network Disruption in ALS Cognitive Phenotypes","year":2024,"lang":"en","type":"article","venue":"Brain Topography","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"Fondazione Grigioni per il Morbo di Parkinson; Irish Institute of Clinical Neuroscience; Science Foundation Ireland; Perrigo Company Charitable Foundation; Medical Research Charities Group; Wellcome Trust; Deutsche Forschungsgemeinschaft; Fondation Thierry Latran; Irish Research Council; ALS Association","keywords":"Cognition; Amyotrophic lateral sclerosis; Psychology; Cognitive decline; Electroencephalography; Neuroscience; Longitudinal study; Neurology; Verbal fluency test; Audiology; Neuropsychology; Physical medicine and rehabilitation; Disease; Medicine; Dementia; Internal medicine; Pathology","score_opus":0.0849175394938603,"score_gpt":0.3642995642248935,"score_spread":0.27938202473103324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403129454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998976,0.00014028879,0.00035778657,0.000013472302,0.0000018118101,0.000007294078,0.0002770694,0.000006770702,0.00021961365],"genre_scores_gemma":[0.9988399,0.00005793468,0.00022790044,0.00000856106,0.0000032415935,0.000017153638,0.00061352435,0.0000027220838,0.00022906685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999856,0.000035526467,0.0000132834375,0.000050680857,0.000023695018,0.000020785898],"domain_scores_gemma":[0.9993382,0.00014800673,0.00028113916,0.000063950065,0.000106215564,0.00006234571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005129759,0.00022642314,0.0002148609,0.00034675509,0.00014190222,0.0003029893,0.00017456165,0.0002353875,0.0008995788],"category_scores_gemma":[0.0020302294,0.00009273258,0.00014399036,0.0003074504,0.000174775,0.00025761314,0.0002962572,0.00027344257,0.0001535933],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011023046,0.00012834641,0.9666723,0.00004876682,0.00022400306,0.00021889167,0.0005478224,0.00060305564,0.015256282,0.000059782215,0.00019667258,0.014941744],"study_design_scores_gemma":[0.0000026700454,0.00010565246,0.9992841,0.000002259045,0.000015884085,0.000091270536,0.000055236767,0.00018354927,0.00016760826,0.00003935749,0.000050320134,0.0000021647982],"about_ca_topic_score_codex":0.0023546864,"about_ca_topic_score_gemma":0.004757947,"teacher_disagreement_score":0.0023546864,"about_ca_system_score_codex":0.00015732642,"about_ca_system_score_gemma":0.00012062007,"threshold_uncertainty_score":0.004681945},"labels":[],"label_agreement":null},{"id":"W4403395355","doi":"10.1007/s10548-024-01086-8","title":"Validation of On-Head OPM MEG for Language Laterality Assessment","year":2024,"lang":"en","type":"article","venue":"Brain Topography","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University","funders":"","keywords":"Laterality; Head (geology); Magnetoencephalography; Psychology; Computer science; Neurology; Artificial intelligence; Audiology; Cognitive psychology; Natural language processing; Physical medicine and rehabilitation; Neuroscience; Medicine; Electroencephalography; Biology","score_opus":0.02124043908700011,"score_gpt":0.3823786721417731,"score_spread":0.361138233054773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403395355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72177345,0.00086604996,0.24894454,0.0007470475,0.0004472492,0.0012057511,0.0053857663,0.0016036892,0.0190265],"genre_scores_gemma":[0.9283861,0.00033808412,0.0650255,0.00058755587,0.00019281253,0.0007922551,0.0018951582,0.0004478135,0.0023347647],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99901736,0.0004169787,0.000079932724,0.0001952261,0.00021173329,0.000078810044],"domain_scores_gemma":[0.9950622,0.002431372,0.0002136294,0.0006481501,0.0015220558,0.00012259916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039521116,0.0007990218,0.00035252667,0.0007445354,0.00033403328,0.0013051354,0.00075841486,0.0011664046,0.0052174516],"category_scores_gemma":[0.014048837,0.00023155128,0.0003555193,0.000366385,0.00073768717,0.0010584731,0.0011248448,0.00050284714,0.0021595736],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033561003,0.0006122507,0.11194251,0.0008014761,0.00045677205,0.00066229573,0.001190645,0.005127212,0.4011705,0.0029734224,0.0070700548,0.46463677],"study_design_scores_gemma":[0.0010180702,0.003578302,0.62359047,0.00050255563,0.0012958896,0.006626434,0.0018967607,0.10729505,0.20902494,0.0140504185,0.030825872,0.00029529523],"about_ca_topic_score_codex":0.0016356278,"about_ca_topic_score_gemma":0.003130559,"teacher_disagreement_score":0.0052174516,"about_ca_system_score_codex":0.0001521167,"about_ca_system_score_gemma":0.0007174579,"threshold_uncertainty_score":0.020901024},"labels":[],"label_agreement":null},{"id":"W4404967962","doi":"10.1007/s10548-024-01094-8","title":"Distinctive Neural Substrates of low and high Risky Decision Making: Evidence from the Balloon Analog Risk Task","year":2024,"lang":"en","type":"article","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fundamental Research Funds for the Central Universities; Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Dorsolateral prefrontal cortex; Functional magnetic resonance imaging; Audiology; Resting state fMRI; Medicine; Psychology; Neuroscience; Prefrontal cortex; Cognition","score_opus":0.0228794500926752,"score_gpt":0.27215659122019986,"score_spread":0.24927714112752467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404967962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99863917,0.000024394803,0.00047995648,0.000048412297,0.0000031653376,0.000007953856,0.00008483433,0.0000041358617,0.00070802355],"genre_scores_gemma":[0.9991135,0.000039514132,0.00044290037,0.000034675675,0.0000048565053,0.000010050829,0.00012693417,0.000008592962,0.00021905795],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997296,0.00006476362,0.000017174289,0.00007180359,0.00008212475,0.0000345318],"domain_scores_gemma":[0.99818856,0.00085100177,0.0005087033,0.00022154606,0.000058329126,0.00017183118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063406985,0.0003042412,0.0003504212,0.00040357272,0.00018872439,0.0008551922,0.00034079628,0.000482452,0.0023341186],"category_scores_gemma":[0.004076955,0.00027206744,0.00012305523,0.00029102553,0.0008837946,0.00062773615,0.00051113585,0.0006907225,0.00014918532],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0113649145,0.0016120566,0.2782446,0.00029095414,0.0006707909,0.0009918356,0.002844333,0.0019419292,0.6497671,0.005514359,0.00093982514,0.04581732],"study_design_scores_gemma":[0.00018594565,0.00042772453,0.9834946,0.000011181353,0.00007474222,0.00092624006,0.00034385093,0.002224206,0.0075182877,0.00445922,0.00030810575,0.00002587319],"about_ca_topic_score_codex":0.0011749867,"about_ca_topic_score_gemma":0.0017784982,"teacher_disagreement_score":0.0023341186,"about_ca_system_score_codex":0.00013307847,"about_ca_system_score_gemma":0.00019354653,"threshold_uncertainty_score":0.0078083873},"labels":[],"label_agreement":null},{"id":"W4413769572","doi":"10.1007/s10548-025-01140-z","title":"The Effect of Single-Session Transcranial Direct Current Stimulation on Cerebral Blood Flow: A Systematic Review and Meta-Analysis","year":2025,"lang":"en","type":"review","venue":"Brain Topography","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Schizophrenia Society of Ontario; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Transcranial direct-current stimulation; Meta-analysis; Cerebral blood flow; Session (web analytics); Neurology; Neuroscience; Medicine; Physical medicine and rehabilitation; Psychology; Stimulation; Computer science; Anesthesia; Internal medicine","score_opus":0.06320231266455513,"score_gpt":0.3490846971326986,"score_spread":0.28588238446814346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413769572","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006471388,0.99237,0.00036520217,0.000079152276,0.00013225018,0.00015158496,0.00021924892,0.00002002123,0.00019125364],"genre_scores_gemma":[0.17139179,0.8239504,0.0018726634,0.0010232233,0.0002669889,0.0004914384,0.00046431302,0.000035953693,0.00050323596],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99702054,0.0010198588,0.0009973532,0.00051046687,0.0003201016,0.00013169758],"domain_scores_gemma":[0.9931711,0.0051477854,0.0010213322,0.00022715269,0.0003397488,0.000092878705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005064595,0.0022050699,0.014614522,0.0026475717,0.00049402064,0.002893176,0.0016939742,0.0025481863,0.004330258],"category_scores_gemma":[0.014776971,0.0011445011,0.023403537,0.0036679022,0.0007894517,0.0015664129,0.0012823335,0.0019211199,0.00039433892],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0044276016,0.000068879766,0.0024947086,0.41071296,0.5619129,0.00015785465,0.00010651014,0.00034435774,0.00057686283,0.00010911481,0.0005849606,0.01850332],"study_design_scores_gemma":[0.0014983021,0.00034776967,0.004224102,0.012979783,0.9790436,0.00009571832,0.000057591227,0.00011617007,0.00013116412,0.00014731169,0.0013260943,0.000032368785],"about_ca_topic_score_codex":0.005165187,"about_ca_topic_score_gemma":0.014642704,"teacher_disagreement_score":0.014614522,"about_ca_system_score_codex":0.0014110195,"about_ca_system_score_gemma":0.0020597088,"threshold_uncertainty_score":0.02678442},"labels":[],"label_agreement":null},{"id":"W4414490139","doi":"10.1007/s10548-025-01145-8","title":"Signs of Problematic Internet use Affect Resting-State EEG Microstates","year":2025,"lang":"en","type":"article","venue":"Brain Topography","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Lietuvos Mokslo Taryba","keywords":"Electroencephalography; Salience (neuroscience); Anxiety; Affect (linguistics); Addiction; The Internet; Neurophysiology; Association (psychology)","score_opus":0.017178292820877353,"score_gpt":0.3134921985850845,"score_spread":0.29631390576420713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414490139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983071,0.000035462057,0.00010425603,0.000020772766,0.000003228674,0.000008499384,0.0001454613,0.0000061450987,0.0013690416],"genre_scores_gemma":[0.9994616,0.000042969,0.000092540555,0.000010295206,0.0000043222067,0.000010922213,0.00011115441,0.0000028018264,0.0002633878],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999899,0.000022932254,0.00000764513,0.000021877018,0.00002729669,0.000021283675],"domain_scores_gemma":[0.9990376,0.000365398,0.00029770134,0.000042018164,0.00012668679,0.00013051668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013725959,0.00017660852,0.00015221478,0.00033748872,0.00017071854,0.00063005363,0.00009384097,0.00024204259,0.0030887083],"category_scores_gemma":[0.0024595768,0.00010703943,0.00011316691,0.00032268406,0.00016973625,0.00029698995,0.0002827842,0.00036734153,0.00021945816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093232753,0.0004119208,0.9481836,0.000062393905,0.000111156,0.00045866548,0.0014627159,0.00016352092,0.028177181,0.00012338982,0.000355951,0.019557096],"study_design_scores_gemma":[0.000002925969,0.00013761902,0.9987224,0.000003468536,0.000018646908,0.0001068178,0.0002717401,0.00008812154,0.00053355657,0.000022068447,0.0000902494,0.0000023724979],"about_ca_topic_score_codex":0.0015899825,"about_ca_topic_score_gemma":0.0037070713,"teacher_disagreement_score":0.0030887083,"about_ca_system_score_codex":0.00008798461,"about_ca_system_score_gemma":0.00009391492,"threshold_uncertainty_score":0.010332763},"labels":[],"label_agreement":null},{"id":"W4416870581","doi":"10.1007/s10548-025-01161-8","title":"Microstate-based Neurofeedback in Attention Deficit Hyperactivity Disorder Population: A Randomized Controlled Crossover Trial","year":2025,"lang":"en","type":"article","venue":"Brain Topography","topic":"Attention Deficit Hyperactivity Disorder","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Université de Genève; Hôpitaux Universitaires de Genève; École Polytechnique Fédérale de Lausanne; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Neurofeedback; Ministate; Attention deficit hyperactivity disorder; Electroencephalography; Crossover study; Sensorimotor rhythm; Randomized controlled trial; Neurology","score_opus":0.012522959084600025,"score_gpt":0.3083169499261087,"score_spread":0.29579399084150865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416870581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9730261,0.0069967126,0.0015971158,0.0006688182,0.00137616,0.014276833,0.0006787043,0.00018796301,0.0011916461],"genre_scores_gemma":[0.9617087,0.004406978,0.0035063406,0.00080423406,0.0009048949,0.025804624,0.000572449,0.000026154476,0.0022655677],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9988689,0.00047758457,0.00012926741,0.00026205287,0.000105305546,0.00015683389],"domain_scores_gemma":[0.9991247,0.00023824385,0.00020447808,0.00008738987,0.00009313948,0.00025203673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019519122,0.0014659201,0.003960951,0.00065463333,0.0005281974,0.00087083195,0.00094734685,0.0023683954,0.005654804],"category_scores_gemma":[0.0023598368,0.0005777706,0.0014126019,0.0005675558,0.0010700679,0.0010491082,0.0005199044,0.0017971967,0.00067990413],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.97800386,0.008390277,0.00028962176,0.0008199649,0.0007435011,0.000030985313,0.000043836324,0.000119557444,0.0018157216,0.00007761654,0.0002635807,0.009401532],"study_design_scores_gemma":[0.9631758,0.035129506,0.0007866287,0.000029410121,0.0002827868,0.00000988169,0.000011745109,0.00017846386,0.00013005381,0.00005500238,0.00020348409,0.000007199765],"about_ca_topic_score_codex":0.0011824679,"about_ca_topic_score_gemma":0.0017685967,"teacher_disagreement_score":0.005654804,"about_ca_system_score_codex":0.0006369766,"about_ca_system_score_gemma":0.0012123863,"threshold_uncertainty_score":0.018917203},"labels":[],"label_agreement":null},{"id":"W4417467953","doi":"10.1007/s10548-025-01166-3","title":"Investigating the Variability of Physiological Response Functions across Individuals and Brain Regions in Functional Magnetic Resonance Imaging","year":2025,"lang":"en","type":"article","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Functional magnetic resonance imaging; Communication noise; Human Connectome Project; Neuroimaging; Preprocessor; Blood-oxygen-level dependent; Functional imaging; Brain mapping; Magnetic resonance imaging","score_opus":0.03377697047965825,"score_gpt":0.2884323507400305,"score_spread":0.25465538026037227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417467953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98396295,0.0002476217,0.014254015,0.00006270681,0.000012127136,0.000036131336,0.00022774072,0.00004769391,0.0011490127],"genre_scores_gemma":[0.99731725,0.000073668525,0.0021164499,0.0000286727,0.000018036282,0.000031824107,0.00018261798,0.00003353572,0.00019781088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917537,0.00025545753,0.00005800722,0.00032902908,0.00012541839,0.0000567169],"domain_scores_gemma":[0.99667513,0.0020672076,0.0004932993,0.0004672322,0.00023506011,0.00006211496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016172619,0.00030240952,0.0003140012,0.0008198344,0.00028027,0.00076191913,0.00037387438,0.0004563492,0.0010463598],"category_scores_gemma":[0.007854462,0.00017952849,0.00023948424,0.00077613286,0.00061891926,0.00075956306,0.00034213538,0.00036328533,0.00015429966],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008825413,0.00027649655,0.5868309,0.00033174333,0.0020551458,0.0008435838,0.0031769534,0.0044844416,0.29279816,0.0017560171,0.0012551268,0.10530887],"study_design_scores_gemma":[0.000011269775,0.00016581484,0.9889783,0.00000982465,0.00012377622,0.0007547389,0.0003547378,0.0025702708,0.0054132547,0.0011320921,0.00047177455,0.000014120589],"about_ca_topic_score_codex":0.0014494032,"about_ca_topic_score_gemma":0.0028859,"teacher_disagreement_score":0.0016172619,"about_ca_system_score_codex":0.0001485127,"about_ca_system_score_gemma":0.00016700896,"threshold_uncertainty_score":0.008553028},"labels":[],"label_agreement":null}]}