{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001033168,0.0001129018,0.0002019132,0.00006732053,0.0001314106,0.00001254798,0.0001162313,0.00006855225,0.00006162003],"category_scores_gemma":[0.000234639,0.00009007574,0.00006152242,0.0004021992,0.00007791646,0.00003198045,0.0000675622,0.0004699955,0.000008693343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004415812,"about_ca_system_score_gemma":0.0001037506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009650039,"about_ca_topic_score_gemma":0.00001852257,"domain_scores_codex":[0.9990404,0.00005497859,0.0002651278,0.0002659925,0.0001490784,0.0002244596],"domain_scores_gemma":[0.9991716,0.0001487435,0.00007585081,0.0004297837,0.00009645175,0.00007755127],"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":[0.0001028088,0.0001838864,0.09960072,0.0001448166,0.00004623886,0.0001759162,0.001553821,0.0005681,0.6942443,0.01601165,0.002639683,0.1847281],"study_design_scores_gemma":[0.002708944,0.0006866972,0.3004123,0.0006361004,0.0001650252,0.0005438901,0.002963125,0.0004071221,0.2963318,0.2458924,0.1484267,0.0008258844],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921542,0.001119562,0.001264913,0.002907337,0.00008086528,0.0003147952,0.00000480666,0.0001313266,0.002022158],"genre_scores_gemma":[0.9964491,0.000211986,0.002179649,0.0005125676,0.0000511366,0.00001491432,0.00001884853,0.00002551517,0.0005363333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3979126,"threshold_uncertainty_score":0.3673182,"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."}}