{"id":"W3192358327","doi":"10.1002/hipo.23382","title":"The structure of hippocampal circuitry relates to rapid category learning in humans","year":2021,"lang":"en","type":"article","venue":"Hippocampus","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Ontario Research Foundation; Fondation Brain Canada","keywords":"Psychology; Categorization; White matter; Entorhinal cortex; Hippocampal formation; Neuroscience; Cognitive psychology; Cognitive science; Artificial intelligence; Computer science","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":[0.000372214,0.0001122188,0.0001176318,0.0003107266,0.0001225654,0.0004250987,0.0001525267,0.0002386486,0.001465372],"category_scores_gemma":[0.002375379,0.0001549516,0.00007303519,0.0001204267,0.000631485,0.0005155083,0.00029004,0.0003470095,0.0001077136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001127103,"about_ca_system_score_gemma":0.0001126794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009262864,"about_ca_topic_score_gemma":0.001993564,"domain_scores_codex":[0.9999007,0.00001354463,0.000004763358,0.00004821325,0.00002145809,0.00001126839],"domain_scores_gemma":[0.9991302,0.00020441,0.0003287529,0.0001740272,0.00007809736,0.00008455216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008347313,0.0003654929,0.6148209,0.0001626318,0.0002309893,0.0006324535,0.003007766,0.00765024,0.2551052,0.004204726,0.00176427,0.1112205],"study_design_scores_gemma":[0.00001061766,0.0002334172,0.9761088,0.00001089923,0.00001779346,0.0005374635,0.0002441244,0.004751149,0.01093236,0.006472481,0.0006607529,0.00002022775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971539,0.00003229405,0.002017864,0.00004415927,0.000003079524,0.000004928806,0.0000504909,0.0000222903,0.0006710006],"genre_scores_gemma":[0.9989488,0.00001441231,0.0008597004,0.0000131797,0.000001746366,0.000002582419,0.00003172495,0.000004235972,0.0001235548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001465372,"threshold_uncertainty_score":0.004902184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03010554406010817,"score_gpt":0.3127084183914426,"score_spread":0.2826028743313345,"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."}}