{"id":"W4386249326","doi":"10.1167/jov.23.9.5077","title":"Parametric study of N170 sensitivity to diagnostic facial information during face identification","year":2023,"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":"Université du Québec en Outaouais","funders":"","keywords":"Stimulus (psychology); Pattern recognition (psychology); Computer science; Artificial intelligence; Speech recognition; Parametric statistics; Electroencephalography; Psychology; Audiology; Mathematics; Cognitive psychology; Statistics; Medicine; Neuroscience","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":[0.0004255023,0.0002826128,0.0002407115,0.0004421546,0.0001401066,0.0002886359,0.0001948522,0.0002329015,0.001962893],"category_scores_gemma":[0.005934652,0.0001424004,0.0001412069,0.0001904936,0.0004256593,0.0004011494,0.0005580809,0.0004323643,0.0001830563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009284938,"about_ca_system_score_gemma":0.00009164026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001878334,"about_ca_topic_score_gemma":0.0002542652,"domain_scores_codex":[0.9997364,0.00005206445,0.00001739015,0.00007228268,0.00008713918,0.00003470308],"domain_scores_gemma":[0.9982508,0.001039371,0.0002925991,0.0001852431,0.0001402649,0.00009169394],"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":[0.001785446,0.0002340318,0.01293312,0.0001393343,0.00004843643,0.0002690632,0.0007826952,0.0006978433,0.9452425,0.0003880673,0.0001954259,0.03728404],"study_design_scores_gemma":[0.000103963,0.002845182,0.801966,0.00003554353,0.0001369299,0.0031675,0.0005455391,0.01019322,0.1775043,0.001989583,0.00142761,0.00008464979],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993061,0.0001138381,0.005160742,0.00001988221,0.00001132876,0.00004454872,0.0001004533,0.00004122331,0.001446974],"genre_scores_gemma":[0.997054,0.00003579446,0.002348139,0.0000129511,0.000009744582,0.0000665409,0.0001143658,0.00002137485,0.0003371385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001962893,"threshold_uncertainty_score":0.006566584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04229919737607041,"score_gpt":0.3394888140841293,"score_spread":0.2971896167080589,"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."}}