{"id":"W3121170577","doi":"10.1101/2021.01.21.427602","title":"Activity in perirhinal and entorhinal cortex predicts perceived visual similarities among category exemplars with highest precision","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Perirhinal cortex; Psychology; Categorization; Entorhinal cortex; Temporal lobe; Cognitive psychology; Perception; Temporal cortex; Visual perception; Observer (physics); Visual cortex; Object (grammar); Communication; Neuroscience; Artificial intelligence; Hippocampus; 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":[0.0003136777,0.0001441489,0.0001455955,0.0002297344,0.0000617921,0.00042272,0.0001350392,0.0002176423,0.0008595712],"category_scores_gemma":[0.0009548263,0.0001297806,0.0001382136,0.00009468861,0.0002623516,0.0002810881,0.0002368711,0.0002104879,0.0001247717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000155941,"about_ca_system_score_gemma":0.0001393998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001014477,"about_ca_topic_score_gemma":0.001692814,"domain_scores_codex":[0.9998924,0.00001956295,0.000006805565,0.00003829867,0.00002948361,0.00001350069],"domain_scores_gemma":[0.9995775,0.0000890321,0.0001987059,0.00004570737,0.00003466151,0.00005435945],"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":[0.0002065293,0.00004513659,0.02903725,0.00003777026,0.00004164504,0.00005102768,0.0001219981,0.0007491751,0.9626635,0.0002459471,0.00007165391,0.006728284],"study_design_scores_gemma":[0.000009946259,0.0001272488,0.9319864,0.000004754854,0.00001606354,0.0001230475,0.00008623788,0.008377048,0.05862444,0.0005228036,0.0001107768,0.0000113011],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957491,0.00004473628,0.003541381,0.00001810846,0.000003593611,0.000005501054,0.00007057854,0.00002971996,0.0005372495],"genre_scores_gemma":[0.9984384,0.00001637059,0.001265256,0.000007940694,0.000001389928,0.000003150641,0.00005839277,0.000005312462,0.0002037144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001014477,"threshold_uncertainty_score":0.002875507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154709734407244,"score_gpt":0.2428665734499754,"score_spread":0.221319476105903,"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."}}