{"id":"W2944543298","doi":"10.1167/19.5.2","title":"Independence of viewpoint and identity in face ensemble processing","year":2019,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Identity (music); Psychology; Viewpoints; Computer science; Cued speech; Independence (probability theory); Artificial intelligence; Cognitive psychology; Pattern recognition (psychology); Social psychology; Communication; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004360146,0.00004006403,0.0001161245,0.0001228706,0.00001721721,0.00002749138,0.00006862153,0.00003941712,0.00009007811],"category_scores_gemma":[0.0001449406,0.00003177661,0.00002585762,0.0001535792,0.00002022989,0.0007612326,0.00002543763,0.0001637026,0.00002261049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001841259,"about_ca_system_score_gemma":0.00002794352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004223983,"about_ca_topic_score_gemma":0.000008282921,"domain_scores_codex":[0.9992598,0.00006310686,0.0002469578,0.00007783904,0.0002906727,0.00006165704],"domain_scores_gemma":[0.9995985,0.00004108595,0.0002295675,0.00004010344,0.00005916138,0.00003159137],"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":[0.00003852909,0.00004421027,0.002410782,0.00005468176,2.500277e-7,0.00000409735,0.0004534643,0.00003710911,0.9594344,0.00002568915,0.000009878935,0.03748693],"study_design_scores_gemma":[0.002110726,0.0009418696,0.5677612,0.00203786,0.0000109804,0.0004687355,0.001196957,0.005996142,0.4141348,0.004792443,0.0003496349,0.0001985659],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983991,0.0001055462,0.0007157057,0.0001931105,0.0001025107,0.00005655322,5.264504e-7,0.000002040063,0.0004248914],"genre_scores_gemma":[0.9992247,0.0003951467,0.0001993432,0.0001145985,0.00001078944,1.190714e-7,5.41022e-8,0.000002792919,0.00005244423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5653505,"threshold_uncertainty_score":0.1295813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03576144675256042,"score_gpt":0.3578735270029769,"score_spread":0.3221120802504165,"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."}}