{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":15,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":15,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"75ef9b6ffca7","filters":{"venue":"Computational Brain & Behavior"}},"results":[{"id":"W2884872018","doi":"10.1007/s42113-018-0008-2","title":"An Instance Theory of Semantic Memory","year":2018,"lang":"en","type":"article","venue":"Computational Brain & Behavior","topic":"Topic Modeling","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Construct (python library); TRACE (psycholinguistics); Word (group theory); Meaning (existential); Natural language processing; Representation (politics); Artificial intelligence; Context (archaeology); Artifact (error); Natural language; Semantics (computer science); Episodic memory; Language model; Linguistics; Psychology; Cognition","authors":[{"name":"Randall K. Jamieson","is_ca":true},{"name":"Johnathan E. Avery","is_ca":false},{"name":"Brendan T. Johns","is_ca":false},{"name":"Michael N. Jones","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03040468465680373,"gpt":0.3010117778307161,"spread":0.2706070931739124,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001814643,0.0005869452,0.001029588,0.001482397,0.001073183,0.004091943,0.002128404,0.001821515,0.009063414],"category_scores_gemma":[0.00973867,0.0005484837,0.001859731,0.00157902,0.002122783,0.0134589,0.001611636,0.002680351,0.001012986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036456,"about_ca_system_score_gemma":0.0007672266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001553733,"about_ca_topic_score_gemma":0.00104145,"domain_scores_codex":[0.9988427,0.0004928897,0.00007836028,0.0002893126,0.0001884443,0.0001082016],"domain_scores_gemma":[0.9963356,0.002255076,0.0001845544,0.000690705,0.0003585489,0.0001754162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003064612,0.00001718505,0.0003912291,0.00003986395,0.00003247153,0.00003523151,0.0002168994,0.001875982,0.0002730915,0.9854951,0.001655701,0.009936649],"study_design_scores_gemma":[0.000008247428,0.000008122908,0.0001595713,0.000008440973,0.00001600241,0.00005120698,0.00003968983,0.01404158,0.0001335504,0.9840958,0.001431936,0.000005872345],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05364133,0.001337072,0.8983405,0.007047046,0.0002818931,0.00006238099,0.0007968837,0.0006263921,0.03786649],"genre_scores_gemma":[0.8697401,0.001081617,0.1146323,0.001033477,0.0008057649,0.0001925652,0.001258757,0.0002259086,0.01102952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009063414,"threshold_uncertainty_score":0.03032017,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402901095","doi":"10.1007/s42113-024-00217-5","title":"Reclaiming AI as a Theoretical Tool for Cognitive Science","year":2024,"lang":"en","type":"article","venue":"Computational Brain & Behavior","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Simons Institute for the Theory of Computing, University of California Berkeley; Natural Sciences and Engineering Research Council of Canada; Koninklijke Nederlandse Akademie van Wetenschappen; Lorentz Center; Netherlands Institute for Advanced Study in the Humanities and Social Sciences","keywords":"Cognitive science; Cognition; Psychology; Computer science; Neuroscience","authors":[{"name":"Iris van Rooij","is_ca":false},{"name":"Olivia Guest","is_ca":false},{"name":"Federico Adolfi","is_ca":false},{"name":"Ronald de Haan","is_ca":false},{"name":"Antonina Kolokolova","is_ca":true},{"name":"Patricia Rich","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02187341066985489,"gpt":0.3505455981938253,"spread":0.3286721875239704,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0129445,0.0008248106,0.0008408637,0.003267156,0.003099083,0.01140127,0.003247778,0.005219133,0.004226089],"category_scores_gemma":[0.01504106,0.000544046,0.001197884,0.001528236,0.05881113,0.01824464,0.006650056,0.01251761,0.001315107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007946316,"about_ca_system_score_gemma":0.003749483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003282039,"about_ca_topic_score_gemma":0.001708515,"domain_scores_codex":[0.9878091,0.007501729,0.0006467021,0.001184356,0.00242013,0.0004380264],"domain_scores_gemma":[0.9798956,0.0129667,0.0008592349,0.002844519,0.002590852,0.0008430173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002418128,0.000002349584,0.00001258331,0.00001714975,0.000001868183,0.00001044494,0.0002497582,0.000207734,0.00002834238,0.9981431,0.0006455237,0.0006787219],"study_design_scores_gemma":[0.00000491879,0.000004401868,0.00001526824,0.00003639686,0.00000233965,0.00001968569,0.000106171,0.001347333,0.00005145866,0.9812995,0.01710715,0.000005379417],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02096941,0.02203535,0.3911108,0.2830254,0.006404392,0.0001025187,0.0001996742,0.0006772081,0.2754752],"genre_scores_gemma":[0.83263,0.008672008,0.1055641,0.02074216,0.005639288,0.0004554117,0.0001802882,0.0003605886,0.02575602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0129445,"threshold_uncertainty_score":0.0684579,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2980060467","doi":"10.1007/s42113-019-00051-0","title":"The Experiment is just as Important as the Likelihood in Understanding the Prior: a Cautionary Note on Robust Cognitive Modeling","year":2019,"lang":"en","type":"article","venue":"Computational Brain & Behavior","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Prior probability; Workflow; Cognition; Computer science; Statistical model; Bayesian probability; Cognitive model; Bayesian statistics; Machine learning; Task (project management); Artificial intelligence; Data science; Econometrics; Cognitive psychology; Bayesian inference; Psychology; Mathematics; Engineering","authors":[{"name":"Lauren Kennedy","is_ca":false},{"name":"Daniel Simpson","is_ca":true},{"name":"Andrew Gelman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06562381396606437,"gpt":0.3286170537204506,"spread":0.2629932397543863,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08471738,0.002273389,0.006482951,0.001430121,0.003295583,0.007948546,0.01012257,0.0123689,0.006128113],"category_scores_gemma":[0.2501703,0.001984175,0.003358741,0.001215019,0.0202912,0.02236892,0.00527066,0.03736632,0.003349424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002413209,"about_ca_system_score_gemma":0.003682196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008747158,"about_ca_topic_score_gemma":0.007350303,"domain_scores_codex":[0.9716862,0.01587036,0.001806695,0.005397898,0.004602669,0.000636211],"domain_scores_gemma":[0.7625076,0.1962924,0.006087751,0.02585893,0.007273701,0.001979797],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003406374,0.00009564156,0.001489297,0.0004281981,0.0005590259,0.000482303,0.001092878,0.007316931,0.001717075,0.9282789,0.03013956,0.02805968],"study_design_scores_gemma":[0.00006460492,0.00003928631,0.0005569489,0.00008609016,0.00006984319,0.0002580407,0.0000762135,0.0157711,0.000634413,0.9751371,0.00721386,0.00009246579],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.006133788,0.00193957,0.7930396,0.1787443,0.003898921,0.0001795455,0.0005403004,0.001215875,0.01430815],"genre_scores_gemma":[0.3150016,0.002148837,0.5524375,0.1062022,0.007933825,0.001099694,0.0003009514,0.001582582,0.01329276],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9152826,"threshold_uncertainty_score":0.4480337,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404940533","doi":"10.1007/s42113-024-00214-8","title":"Lessons for Theory from Scientific Domains Where Evidence is Sparse or Indirect","year":2024,"lang":"en","type":"article","venue":"Computational Brain & Behavior","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; James S. McDonnell Foundation","keywords":"Epistemology; Computer science; Econometrics; Data science; Mathematics; Philosophy","authors":[{"name":"Marieke Woensdregt","is_ca":false},{"name":"Riccardo Fusaroli","is_ca":false},{"name":"Patricia Rich","is_ca":false},{"name":"Martin Modrák","is_ca":false},{"name":"Antonina Kolokolova","is_ca":true},{"name":"Cory Wright","is_ca":false},{"name":"Anne S. Warlaumont","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0854073085012884,"gpt":0.3896045448201308,"spread":0.3041972363188424,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06108921,0.001862079,0.003431061,0.009796269,0.00470222,0.01474665,0.005421007,0.00714332,0.007982608],"category_scores_gemma":[0.1385429,0.001482378,0.002133919,0.005463931,0.06034606,0.04503905,0.01214815,0.0177404,0.001384184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006659559,"about_ca_system_score_gemma":0.008469515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00348427,"about_ca_topic_score_gemma":0.004152405,"domain_scores_codex":[0.9655581,0.0218679,0.002335464,0.003797084,0.005599578,0.000841987],"domain_scores_gemma":[0.7431177,0.2201502,0.005509893,0.01766598,0.01013921,0.003416958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002790043,0.0000234908,0.0007590376,0.0006297076,0.0001166605,0.0002427607,0.00175655,0.001477679,0.00007413173,0.972659,0.004598526,0.01763448],"study_design_scores_gemma":[0.000008199388,0.000002984293,0.00006148262,0.0001653986,0.000005457418,0.00003106388,0.000185503,0.0004538678,0.00002530799,0.9949483,0.004105892,0.000006467348],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01574307,0.04992844,0.4527564,0.4155754,0.003696284,0.0003291588,0.0007060882,0.000369459,0.06089556],"genre_scores_gemma":[0.5983406,0.03512268,0.3027571,0.04745003,0.009075991,0.001499067,0.0007750789,0.0004314383,0.004548073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06108921,"threshold_uncertainty_score":0.3230745,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385839849","doi":"10.1007/s42113-023-00178-1","title":"Humans Adopt Different Exploration Strategies Depending on the Environment","year":2023,"lang":"en","type":"article","venue":"Computational Brain & Behavior","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Task (project management); Heuristic; Probabilistic logic; Cognitive psychology; Artificial intelligence; Reinforcement learning; Computer science; Machine learning; Trait; Contrast (vision); Softmax function; Cognition; Flexibility (engineering); Psychology; Statistics; Mathematics; Deep learning; Engineering","authors":[{"name":"Thomas D. Ferguson","is_ca":true},{"name":"Alona Fyshe","is_ca":true},{"name":"Adam White","is_ca":true},{"name":"Olave E. Krigolson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2639159802453737,"gpt":0.4076021962323015,"spread":0.1436862159869278,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005006858,0.0003182352,0.0002074922,0.0003387966,0.0001496832,0.001732308,0.0002654704,0.0006310762,0.002197649],"category_scores_gemma":[0.002856408,0.0002347008,0.0002688999,0.0002175726,0.0005156369,0.001093523,0.000465976,0.0004581526,0.0005164706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001580765,"about_ca_system_score_gemma":0.0002116867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003086457,"about_ca_topic_score_gemma":0.000524106,"domain_scores_codex":[0.9997445,0.00008849205,0.00001078956,0.00005563571,0.00004782847,0.00005272635],"domain_scores_gemma":[0.9990835,0.0004564911,0.0001509726,0.00008681486,0.0001017947,0.0001203659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001489559,0.0008898705,0.2363418,0.0004706973,0.001145194,0.0008675056,0.002064197,0.0821553,0.1333123,0.1529102,0.005457919,0.3828954],"study_design_scores_gemma":[0.0001980777,0.0009311705,0.3504626,0.000141887,0.000345033,0.001727415,0.002258322,0.2303067,0.02347349,0.380186,0.009721433,0.0002478321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9408676,0.0005374653,0.03957441,0.0005569967,0.00002858732,0.00002233341,0.00008144268,0.00007093294,0.0182601],"genre_scores_gemma":[0.9903961,0.0002889558,0.007676095,0.0001204215,0.00001011375,0.00001417456,0.00005418131,0.00002717375,0.001412658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002197649,"threshold_uncertainty_score":0.007351875,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3158430049","doi":"10.1007/s42113-021-00107-0","title":"Dynamic Perception of Well-Learned Perceptual Objects","year":2021,"lang":"en","type":"article","venue":"Computational Brain & Behavior","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Perception; Computer science; Artificial intelligence; Object (grammar); Cognitive neuroscience of visual object recognition; Stimulus (psychology); Pattern recognition (psychology); Feature (linguistics); Speech recognition; Computer vision; Psychology; Cognitive psychology","authors":[{"name":"Samuel Harding","is_ca":false},{"name":"Denis Cousineau","is_ca":true},{"name":"Richard M. Shiffrin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09885780794065666,"gpt":0.3860073168159835,"spread":0.2871495088753269,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002045315,0.0001976174,0.0002414618,0.0003813373,0.0002386796,0.001545837,0.0003239108,0.0004399773,0.003692841],"category_scores_gemma":[0.001742307,0.0002510345,0.0002261041,0.0002123817,0.000392608,0.002317087,0.0007131216,0.0007304696,0.0002779589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006038981,"about_ca_system_score_gemma":0.0002847174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001200611,"about_ca_topic_score_gemma":0.00105223,"domain_scores_codex":[0.9998672,0.00001259356,0.000004237073,0.00005013637,0.00004155088,0.00002410516],"domain_scores_gemma":[0.9995309,0.0001181862,0.0001041183,0.00007596577,0.00007077731,0.0001000428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006000083,0.0002108426,0.01343525,0.0001471545,0.00009202689,0.0002872046,0.0006444357,0.01477844,0.8570721,0.04194421,0.0007445301,0.07004377],"study_design_scores_gemma":[0.00006294613,0.0007595161,0.5182749,0.00009012242,0.0001205533,0.001253015,0.001953705,0.2537293,0.1257329,0.09071551,0.007182651,0.0001249409],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9446926,0.0002349186,0.04072976,0.0002244917,0.00004261491,0.00001685988,0.0001212622,0.0001029381,0.01383467],"genre_scores_gemma":[0.9944416,0.0001298747,0.003943719,0.00003200032,0.000008309577,0.000005542101,0.00007895834,0.00004132336,0.001318745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003692841,"threshold_uncertainty_score":0.01235378,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388407250","doi":"10.1007/s42113-023-00184-3","title":"Towards Dependent Race Models for the Stop-Signal Paradigm","year":2023,"lang":"en","type":"article","venue":"Computational Brain & Behavior","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Independence (probability theory); Censoring (clinical trials); Computer science; Context (archaeology); Observability; Race (biology); Econometrics; Mathematics; Statistics; Applied mathematics; Geography","authors":[{"name":"Hans Colonius","is_ca":false},{"name":"Paria Jahansa","is_ca":false},{"name":"Harry Joe","is_ca":true},{"name":"Adele Diederich","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06082613293544897,"gpt":0.333703849606353,"spread":0.272877716670904,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007529446,0.0008464351,0.001406281,0.001236769,0.000771506,0.001979832,0.002516263,0.00289314,0.007768799],"category_scores_gemma":[0.01844148,0.0007750674,0.001922471,0.0006222347,0.002785095,0.003873394,0.002569691,0.005085709,0.001093982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331259,"about_ca_system_score_gemma":0.001147287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001912369,"about_ca_topic_score_gemma":0.001703323,"domain_scores_codex":[0.9977639,0.001188216,0.00008705538,0.0003909177,0.0003657853,0.0002042154],"domain_scores_gemma":[0.9870569,0.00841242,0.001529024,0.001263926,0.001071712,0.0006659063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007843896,0.00005416804,0.000622079,0.00005161352,0.00005166394,0.0001371656,0.0002347739,0.06341273,0.00216068,0.9274032,0.001586765,0.004206625],"study_design_scores_gemma":[0.00001871089,0.00002505636,0.0002334042,0.000009261256,0.000009416075,0.00004818941,0.00002220669,0.5045346,0.0002299737,0.4941731,0.0006791601,0.00001695513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02636487,0.0001537345,0.966485,0.001034732,0.00006808389,0.0000381608,0.0001446776,0.0001545751,0.005556267],"genre_scores_gemma":[0.8437201,0.000459802,0.1434482,0.00095186,0.0003787783,0.0003346227,0.0003675316,0.0002996059,0.01003953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007768799,"threshold_uncertainty_score":0.03982002,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403448825","doi":"10.1007/s42113-024-00219-3","title":"The Problem-Ladenness of Theory","year":2024,"lang":"en","type":"article","venue":"Computational Brain & Behavior","topic":"Embodied and Extended Cognition","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute; Montreal Neurological Institute and Hospital","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Computer science; Mathematical economics; Mathematics","authors":[{"name":"Daniel Levenstein","is_ca":true},{"name":"Aniello De Santo","is_ca":false},{"name":"Saskia Heijnen","is_ca":false},{"name":"Manjari Narayan","is_ca":false},{"name":"Freek J. W. Oude Maatman","is_ca":false},{"name":"Jonathan Rawski","is_ca":false},{"name":"Cory Wright","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02952173126099561,"gpt":0.3071343905259051,"spread":0.2776126592649095,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007517313,0.0007751752,0.001295674,0.002749659,0.002767287,0.006378736,0.00204046,0.004434921,0.01116094],"category_scores_gemma":[0.02323522,0.000618788,0.001415909,0.00127491,0.03762151,0.01843582,0.005412632,0.006220717,0.00120199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003303174,"about_ca_system_score_gemma":0.001980487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598361,"about_ca_topic_score_gemma":0.001051501,"domain_scores_codex":[0.994029,0.003570815,0.0002295051,0.0009225721,0.0009936617,0.0002543195],"domain_scores_gemma":[0.9871972,0.008137097,0.0004579796,0.002833665,0.000962374,0.0004116661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005467525,0.000003325545,0.00004968513,0.00001585945,0.000005761814,0.00001093863,0.0001624745,0.0002135324,0.0000220922,0.9970018,0.0008803481,0.001628606],"study_design_scores_gemma":[0.000003911291,0.000001528919,0.00001463416,0.000006151757,0.000001400195,0.00001445934,0.00002727761,0.0005183922,0.00001581651,0.9979535,0.001440831,0.000002017883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04194019,0.00785638,0.4144876,0.1286754,0.001771567,0.0001240113,0.0003906465,0.0004355251,0.4043187],"genre_scores_gemma":[0.9116912,0.00159414,0.06375665,0.006610009,0.001056916,0.0002670802,0.0002040628,0.0001987253,0.01462112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9972327,"threshold_uncertainty_score":0.03975582,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2966194045","doi":"10.1007/s42113-019-00046-x","title":"Correction to: An Instance Theory of Semantic Memory","year":2019,"lang":"en","type":"article","venue":"Computational Brain & Behavior","topic":"Topic Modeling","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Semantic memory; Natural language processing; Cognitive science; Artificial intelligence; Semantic theory of truth; Cognitive psychology; Psychology; Linguistics; Philosophy; Neuroscience; Cognition","authors":[{"name":"Randall K. Jamieson","is_ca":true},{"name":"Johnathan E. Avery","is_ca":false},{"name":"Brendan T. Johns","is_ca":false},{"name":"Michael N. Jones","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02157729932495907,"gpt":0.2798875752380739,"spread":0.2583102759131149,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002595094,0.0019071,0.002625497,0.003866876,0.00320336,0.004252876,0.004484341,0.008492427,0.105864],"category_scores_gemma":[0.08037617,0.001015374,0.001637547,0.003276301,0.002843491,0.003170045,0.002070597,0.009612375,0.03753467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003307362,"about_ca_system_score_gemma":0.003093753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008215667,"about_ca_topic_score_gemma":0.008605335,"domain_scores_codex":[0.9972299,0.0004163569,0.0006287851,0.0006015275,0.0007795015,0.0003439998],"domain_scores_gemma":[0.9631265,0.01062974,0.001690996,0.004261137,0.018929,0.001362646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009596039,0.00001044099,0.0001722748,0.0001472866,0.00003411648,0.0005352388,0.00005825106,0.0000923741,0.00007812245,0.003598545,0.9862494,0.008927976],"study_design_scores_gemma":[0.0001900165,0.00004495383,0.002314975,0.0003235028,0.0001084958,0.002702119,0.0002719274,0.001929077,0.0009495209,0.02200075,0.9690465,0.0001181131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0005436226,0.000586557,0.002051907,0.09737276,0.8936123,0.0000294464,0.00221347,0.0007797253,0.002810284],"genre_scores_gemma":[0.08727977,0.004352533,0.01154996,0.09426685,0.6087717,0.0003768869,0.004752734,0.001963147,0.1866864],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.105864,"threshold_uncertainty_score":0.3541503,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404312485","doi":"10.1007/s42113-024-00225-5","title":"What Makes a Good Theory? Interdisciplinary Perspectives","year":2024,"lang":"en","type":"article","venue":"Computational Brain & Behavior","topic":"Classical Philosophy and Thought","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Netherlands Institute for Advanced Study in the Humanities and Social Sciences","keywords":"Engineering ethics; Epistemology; Sociology; Management science; Philosophy; Engineering","authors":[{"name":"Iris van Rooij","is_ca":false},{"name":"Berna Devezer","is_ca":false},{"name":"Joshua Skewes","is_ca":false},{"name":"Sashank Varma","is_ca":false},{"name":"Todd Wareham","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03466445688532649,"gpt":0.3114398395316568,"spread":0.2767753826463303,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02871768,0.001746587,0.002394951,0.009714328,0.008891335,0.01632559,0.004975608,0.01065695,0.007386131],"category_scores_gemma":[0.02124196,0.0008061074,0.001169083,0.006144184,0.07827293,0.0268206,0.007683661,0.01638721,0.001446669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01303914,"about_ca_system_score_gemma":0.007643407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004283511,"about_ca_topic_score_gemma":0.002581298,"domain_scores_codex":[0.9779066,0.01500099,0.0007197325,0.001783296,0.003471312,0.001118126],"domain_scores_gemma":[0.9641091,0.02827585,0.001092825,0.001793995,0.002841127,0.001887146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003793666,0.000009587532,0.00002774557,0.00006776852,0.000006976842,0.00003419494,0.0007992427,0.0001099434,0.000009752409,0.9929034,0.003964453,0.002063164],"study_design_scores_gemma":[0.000005413133,0.00000347506,0.00002875038,0.0002304378,0.000002950894,0.00003861244,0.001243842,0.0001214585,0.00001416591,0.9683185,0.02998756,0.000004817131],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003269003,0.1168583,0.01789203,0.7257001,0.005151655,0.00002998407,0.0001111852,0.00005042747,0.1309373],"genre_scores_gemma":[0.6306655,0.1715722,0.02624321,0.1227785,0.03735012,0.0003032774,0.0002426533,0.0002062314,0.01063846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02871768,"threshold_uncertainty_score":0.1518754,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388208561","doi":"10.1007/s42113-023-00183-4","title":"Modeling Time Cell Neuron-Level Dynamics","year":2023,"lang":"en","type":"article","venue":"Computational Brain & Behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Neuron; Time constant; Standard deviation; Mechanism (biology); Biological system; Interval (graph theory); Neuroscience; Artificial neural network; Artificial intelligence; Physics; Mathematics; Statistics; Biology","authors":[{"name":"Mustafa Zeki","is_ca":false},{"name":"Fuat Balcı","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06096186535762076,"gpt":0.2856945824105023,"spread":0.2247327170528816,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001916355,0.0003287607,0.000503319,0.0002999053,0.0004248133,0.0009046795,0.001354813,0.001520002,0.005100559],"category_scores_gemma":[0.00105308,0.0003966017,0.0006084311,0.0003972866,0.0006573021,0.001272785,0.0007531852,0.001006283,0.0006804921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036771,"about_ca_system_score_gemma":0.001093765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01623862,"about_ca_topic_score_gemma":0.01271348,"domain_scores_codex":[0.9999334,0.00001389747,0.000003431249,0.00001578805,0.00001631501,0.00001710694],"domain_scores_gemma":[0.9997345,0.0001141088,0.00003145614,0.00002685503,0.00004988287,0.00004321385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001182633,0.00001597806,0.0006339066,0.00001448173,0.00001606604,0.00005959651,0.00004051888,0.9679663,0.001940367,0.02698036,0.0003412497,0.001979385],"study_design_scores_gemma":[0.000001745863,0.000002386617,0.00006889772,9.211308e-7,0.000002017984,0.000006160472,0.000004626962,0.9968895,0.00008819409,0.002749313,0.0001844515,0.000001714412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2674687,0.0005253679,0.6889134,0.001659126,0.0003767821,0.00006622106,0.0006129405,0.000617805,0.03975964],"genre_scores_gemma":[0.9604817,0.000330997,0.02262535,0.0001702198,0.00007188223,0.00007191616,0.0001866961,0.0001308588,0.01593043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01623862,"threshold_uncertainty_score":0.03228819,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399842894","doi":"10.1007/s42113-026-00306-7","title":"Need Second-hand Advice? The Timing of When People Seek Algorithmic Recommendations","year":2024,"lang":"en","type":"preprint","venue":"Computational Brain & Behavior","topic":"Leadership, Behavior, and Decision-Making Studies","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Response Biomedical (Canada)","funders":"University of Technology Sydney","keywords":"Advice (programming); Internet privacy; Computer science; Psychology; Programming language","authors":[{"name":"Garston Liang","is_ca":false},{"name":"Guy E. Hawkins","is_ca":false},{"name":"Ben R. Newell","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1463913918347822,"gpt":0.415464147622023,"spread":0.2690727557872408,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005643672,0.0001565187,0.0004185524,0.0005638986,0.0003787484,0.00177683,0.0004612182,0.001072121,0.00356037],"category_scores_gemma":[0.06348939,0.0002717092,0.0002606878,0.0004708877,0.0006281482,0.001301285,0.0005698354,0.00122066,0.0005977648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000411787,"about_ca_system_score_gemma":0.0003463451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002924579,"about_ca_topic_score_gemma":0.004092038,"domain_scores_codex":[0.9976674,0.001216377,0.0001669724,0.0004098234,0.0003386391,0.0002008332],"domain_scores_gemma":[0.9374111,0.04590385,0.008420446,0.004155688,0.002236122,0.001872791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00521268,0.001624001,0.768619,0.0005393873,0.0004284486,0.0002998306,0.0221459,0.007605152,0.02802239,0.007310344,0.002886813,0.155306],"study_design_scores_gemma":[0.0001919863,0.001380826,0.9401158,0.0001308353,0.0001262018,0.0002163321,0.009509988,0.02759726,0.004605135,0.0127659,0.00317288,0.0001868732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965223,0.0001161424,0.001521874,0.0001772597,0.0000116306,0.00001556759,0.00007207249,0.00001771182,0.001545421],"genre_scores_gemma":[0.9985095,0.0000364017,0.000959688,0.0000474669,0.000005904245,0.00001641234,0.00005811287,0.000007484578,0.0003590241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005643672,"threshold_uncertainty_score":0.02984691,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410989388","doi":"10.1007/s42113-025-00247-7","title":"Large-Scale Social Feedback and Language Usage: a Distributional Analysis","year":2025,"lang":"en","type":"article","venue":"Computational Brain & Behavior","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scale (ratio); Computer science; Data science; Geography; Cartography","authors":[{"name":"Brendan T. Johns","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01028152765579858,"gpt":0.331262939805985,"spread":0.3209814121501864,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001705031,0.0001912166,0.0004286859,0.001438462,0.0006635044,0.001116114,0.0004976708,0.0005017653,0.005829088],"category_scores_gemma":[0.01426021,0.0001513935,0.0005052995,0.001350346,0.001034411,0.001768481,0.001388256,0.0008788129,0.0007230741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003716378,"about_ca_system_score_gemma":0.0002908133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002051649,"about_ca_topic_score_gemma":0.003000128,"domain_scores_codex":[0.9990605,0.0004792229,0.00006295781,0.0001825645,0.0001253167,0.00008944541],"domain_scores_gemma":[0.9864672,0.01027052,0.0007900324,0.000939252,0.001050168,0.0004828856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001679214,0.0009342493,0.7380911,0.0002429312,0.0007120841,0.0009590316,0.005240601,0.01353162,0.05065653,0.02024665,0.004332277,0.1633737],"study_design_scores_gemma":[0.00004398786,0.0003160789,0.8146585,0.00003234861,0.000159525,0.001169224,0.002692105,0.154083,0.003068231,0.02136812,0.002318411,0.00009038437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920642,0.00006956258,0.00631329,0.0001736858,0.00001107236,0.00000856983,0.0002597237,0.0000505533,0.001049236],"genre_scores_gemma":[0.9987085,0.00002282314,0.0006133033,0.00001350034,0.00001155774,0.000007522569,0.000228104,0.00002699794,0.0003677983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005829088,"threshold_uncertainty_score":0.01950026,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4416082718","doi":"10.1007/s42113-025-00259-3","title":"EEG Activity Predictive of Learning Through Feedback","year":2025,"lang":"en","type":"article","venue":"Computational Brain & Behavior","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Univariate; Electroencephalography; Encoding (memory); Brain activity and meditation; Episodic memory; Multivariate statistics; Relevance (law)","authors":[{"name":"Matthew Danyluik","is_ca":true},{"name":"Sucheta Chakravarty","is_ca":false},{"name":"Jeremy B. Caplan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0999676290688157,"gpt":0.3984958365345748,"spread":0.2985282074657591,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001849213,0.0002274887,0.0001309186,0.00025713,0.00009285381,0.0004303987,0.000121988,0.0001968779,0.002994322],"category_scores_gemma":[0.003454612,0.0001040102,0.0001339827,0.0002273737,0.0001683493,0.0002429647,0.0001537825,0.0004654431,0.0003064093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451731,"about_ca_system_score_gemma":0.0001557683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001227255,"about_ca_topic_score_gemma":0.001182986,"domain_scores_codex":[0.999921,0.00001264765,0.000004481928,0.00002098892,0.00002076825,0.00002014569],"domain_scores_gemma":[0.9992003,0.0004793814,0.00009088801,0.00004345569,0.00008588182,0.0001001587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005501634,0.0008795788,0.1215777,0.0002667422,0.0002232057,0.0003217768,0.0003905887,0.01462823,0.7345104,0.00289566,0.001896422,0.1169081],"study_design_scores_gemma":[0.00009925227,0.0007998996,0.8709522,0.00003479397,0.00009103202,0.0003286939,0.000113325,0.06791518,0.05563928,0.003213802,0.0007768451,0.00003561212],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857885,0.000118001,0.008840558,0.0001214489,0.00008265716,0.00004317022,0.0005734981,0.0001170048,0.004315098],"genre_scores_gemma":[0.9987252,0.00004248947,0.0005064008,0.00001556827,0.00001286518,0.000006969415,0.000111295,0.00001613738,0.0005630049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002994322,"threshold_uncertainty_score":0.01001704,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386562127","doi":"10.1007/s42113-023-00177-2","title":"Dynamic Modeling of Visual Search","year":2023,"lang":"en","type":"article","venue":"Computational Brain & Behavior","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Visual search; Object (grammar); Computer science; Perception; Serial memory processing; Artificial intelligence; Simple (philosophy); Pattern recognition (psychology); Computer vision; Cognitive psychology; Psychology","authors":[{"name":"Zainab Rajab Mohamed","is_ca":false},{"name":"Denis Cousineau","is_ca":true},{"name":"Samuel Harding","is_ca":false},{"name":"Richard M. Shiffrin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1151588211167696,"gpt":0.4159368695264682,"spread":0.3007780484096986,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004498651,0.0004371245,0.0009520511,0.000900956,0.0004529477,0.001801615,0.001840865,0.001844623,0.007669387],"category_scores_gemma":[0.003332422,0.000673264,0.0006905257,0.0008849688,0.001002098,0.002255798,0.0009227493,0.000980076,0.0008089966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581504,"about_ca_system_score_gemma":0.001050015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01271472,"about_ca_topic_score_gemma":0.006852093,"domain_scores_codex":[0.9997861,0.00006664107,0.000008758305,0.00004274887,0.00005109788,0.00004469034],"domain_scores_gemma":[0.9992527,0.0004039356,0.00008420017,0.00005437673,0.0001088755,0.00009578828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004001059,0.00002668818,0.0003054341,0.00003466064,0.00002382659,0.00007258799,0.00005373047,0.801581,0.00112471,0.1914438,0.0013374,0.003956127],"study_design_scores_gemma":[0.000004711167,0.000002773302,0.00007698459,0.000002202397,0.000002226582,0.00001073213,0.000006089718,0.9791579,0.00003512622,0.0204812,0.0002162827,0.000003797627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1904475,0.002643376,0.7194964,0.005471954,0.0003600055,0.00007741938,0.000777833,0.0004738822,0.08025163],"genre_scores_gemma":[0.9677716,0.0006515171,0.01491656,0.000182667,0.00008115282,0.0000738187,0.000166457,0.0001300502,0.0160261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01271472,"threshold_uncertainty_score":0.02565664,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}