{"id":"W4412439368","doi":"10.1167/jov.25.9.2431","title":"Developing a non-human primate model to dissect neural mechanisms of human facial expression processing","year":2025,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Non human primate; Primate; Facial expression; Neuroscience; Biology; Computer science; Artificial intelligence; Evolutionary biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003597884,0.0005906023,0.0003606541,0.000512507,0.0003778437,0.0006282808,0.001155769,0.0008443379,0.002055714],"category_scores_gemma":[0.0007475287,0.0004497292,0.0007426568,0.0003547947,0.000553005,0.0008113438,0.0006146825,0.0008486927,0.0006502151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005688615,"about_ca_system_score_gemma":0.000598456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006047891,"about_ca_topic_score_gemma":0.006823245,"domain_scores_codex":[0.999893,0.00002709542,0.000004869778,0.0000395794,0.00002334582,0.00001214811],"domain_scores_gemma":[0.9998709,0.00005096802,0.00002264336,0.00002118466,0.00002292173,0.00001143511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002006214,0.0002702142,0.004682199,0.0004270094,0.0002260794,0.0007982299,0.0007198877,0.7423235,0.1119479,0.09094516,0.002692932,0.04476636],"study_design_scores_gemma":[0.00001775994,0.0001066837,0.00117341,0.0000178515,0.00003750992,0.0001593722,0.00004827212,0.9685785,0.003102427,0.02258256,0.004158258,0.00001746344],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1545053,0.001082883,0.8201929,0.001233299,0.0001160369,0.0001610532,0.0007223249,0.000681423,0.02130471],"genre_scores_gemma":[0.7265972,0.001548576,0.2565873,0.0004149435,0.00007144541,0.0008845823,0.0004664507,0.0001761829,0.01325334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006047891,"threshold_uncertainty_score":0.01202542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06991777249992252,"score_gpt":0.418295305644476,"score_spread":0.3483775331445534,"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."}}