{"id":"W2512963465","doi":"10.1167/10.7.622","title":"Race-specific perceptual discrimination improvement following short individuation training with faces","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Psychology; Race (biology); Individuation; Categorization; Perception; Cognitive psychology; Task (project management); Contrast (vision); Social psychology; Developmental psychology; Artificial intelligence; Computer science; Gender studies; Sociology","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":[0.0002404924,0.0003384263,0.0004247479,0.0001461495,0.0001328268,0.00015796,0.0002657317,0.0002980048,0.002164906],"category_scores_gemma":[0.0006109547,0.0001383029,0.0002278427,0.00006406171,0.0002900245,0.0002727586,0.000348757,0.0008419256,0.0003027274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001109832,"about_ca_system_score_gemma":0.0001704183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004025025,"about_ca_topic_score_gemma":0.0006394973,"domain_scores_codex":[0.9998084,0.00001955554,0.00001366463,0.00006619126,0.00003671332,0.00005547401],"domain_scores_gemma":[0.9995938,0.0001066624,0.00009180207,0.00007098638,0.00003889703,0.00009792935],"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":[0.0006412256,0.0008673081,0.0004123408,0.00003327614,0.000008376887,0.00002955235,0.00006394921,0.0000447315,0.9881601,0.00002110946,0.00004205744,0.00967601],"study_design_scores_gemma":[0.00009233131,0.02417088,0.07194627,0.00001755717,0.0000605732,0.0003249399,0.0001165839,0.0009827178,0.9007119,0.0001619978,0.001392283,0.00002207302],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988486,0.0001009385,0.0004870991,0.0000237492,0.00001635158,0.00001574958,0.00002857456,0.00002265326,0.0004562711],"genre_scores_gemma":[0.9966648,0.0001719824,0.001472408,0.000049026,0.00001640137,0.00003227935,0.00009323717,0.00001716287,0.001482683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002164906,"threshold_uncertainty_score":0.007242322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0709781228316264,"score_gpt":0.327210710356279,"score_spread":0.2562325875246526,"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."}}