{"id":"W2980351243","doi":"10.1523/jneurosci.1166-19.2019","title":"Brain Mechanisms of Concept Learning","year":2019,"lang":"en","type":"review","venue":"Journal of Neuroscience","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Austrian Science Fund; University of Oregon","keywords":"Cognitive science; Psychology; Cognition; Mechanism (biology); Perception; Concept learning; Cognitive psychology; Set (abstract data type); Ventromedial prefrontal cortex; Coherence (philosophical gambling strategy); Computer science; Prefrontal cortex; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005373688,0.0007968696,0.000816052,0.001276607,0.000301426,0.001453298,0.001315499,0.001385865,0.002589389],"category_scores_gemma":[0.000610188,0.0002241121,0.0004357861,0.0007895427,0.001555325,0.001885602,0.0009872881,0.001615961,0.001638117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007501302,"about_ca_system_score_gemma":0.001311803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006596957,"about_ca_topic_score_gemma":0.0006087544,"domain_scores_codex":[0.9998496,0.00003397523,0.00001317411,0.00003603363,0.00005272108,0.00001445],"domain_scores_gemma":[0.9998386,0.00008140498,0.00002192306,0.00001272619,0.00002888021,0.00001645815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005370678,0.00004049719,0.0001531985,0.00895766,0.0001138998,0.0002685944,0.0002261148,0.0009019331,0.003373458,0.07610917,0.01244364,0.8973581],"study_design_scores_gemma":[0.00003009001,0.00009948591,0.002110754,0.004135127,0.00008482759,0.002833129,0.0001249612,0.000449244,0.001794372,0.1425974,0.8456929,0.00004768054],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000484466,0.9905547,0.002096932,0.000633701,0.0002175456,0.00001350971,0.00003220279,0.00002126066,0.005945675],"genre_scores_gemma":[0.005909983,0.9909449,0.00103791,0.000274347,0.0002454217,0.0000387883,0.0000535752,0.000004402735,0.001490728],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002589389,"threshold_uncertainty_score":0.008662343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2505201671270157,"score_gpt":0.3959724596362579,"score_spread":0.1454522925092422,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}