{"id":"W4220804519","doi":"10.7554/elife.66884","title":"Activity in perirhinal and entorhinal cortex predicts perceived visual similarities among category exemplars with highest precision","year":2022,"lang":"en","type":"article","venue":"eLife","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Ontario Trillium Foundation; Fondation Brain Canada","keywords":"Perirhinal cortex; Functional magnetic resonance imaging; Perception; Visual perception; Entorhinal cortex; Temporal cortex; Similarity (geometry); Object (grammar); Temporal lobe","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":[0.0004180079,0.0001637716,0.0001603304,0.0002958002,0.00007862144,0.0004583455,0.0001707324,0.0002943944,0.0006477553],"category_scores_gemma":[0.001346059,0.0001745408,0.0002172954,0.00009821078,0.0003422595,0.0004101572,0.0003262077,0.0002602011,0.0001076731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001961351,"about_ca_system_score_gemma":0.0001792189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001312403,"about_ca_topic_score_gemma":0.002478698,"domain_scores_codex":[0.9998073,0.00002270783,0.00001264246,0.00007050667,0.0000553843,0.00003140577],"domain_scores_gemma":[0.9994673,0.00009320519,0.0002543588,0.00007483843,0.00004109068,0.00006914251],"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":[0.0003010582,0.00006757076,0.06465434,0.00004836696,0.000066067,0.000087793,0.0002636817,0.001149777,0.9206966,0.000346008,0.00008815208,0.01223052],"study_design_scores_gemma":[0.000009477968,0.0001288221,0.9676624,0.000003294929,0.00001463749,0.0001348385,0.00008000259,0.004794172,0.02660342,0.0004586898,0.00009956559,0.00001059296],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995813,0.00004009925,0.00349675,0.00001530451,0.000003528749,0.000006305427,0.00004648987,0.0000286654,0.0005499198],"genre_scores_gemma":[0.9984294,0.00002111077,0.001282841,0.00001109839,0.00000165756,0.000003875215,0.00006259514,0.000004965087,0.0001824572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001312403,"threshold_uncertainty_score":0.002609491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0250043151941341,"score_gpt":0.2676667782884074,"score_spread":0.2426624630942733,"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."}}