{"id":"W4413050124","doi":"10.1167/jov.25.10.5","title":"Ensemble perception of faces with naturalistic occlusions","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":"","funders":"University of California, San Diego; McGill University","keywords":"Artificial intelligence; Perception; Face (sociological concept); Computer science; Computer vision; Psychology; Pattern recognition (psychology); Visual perception; Neuroscience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009136743,0.0003254786,0.0005931575,0.0002786429,0.0002255327,0.0007160416,0.0002964931,0.0004072927,0.001685828],"category_scores_gemma":[0.007093768,0.0002299873,0.000489448,0.0001222636,0.0004227032,0.0009486529,0.001408392,0.0006091946,0.0001471859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003280058,"about_ca_system_score_gemma":0.0002081747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001177845,"about_ca_topic_score_gemma":0.0008238177,"domain_scores_codex":[0.999364,0.00009658732,0.00003415136,0.00015546,0.0002345035,0.0001153696],"domain_scores_gemma":[0.9987844,0.0004718402,0.0002480137,0.0002456708,0.0001403561,0.0001097289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003235653,0.0001516466,0.02371463,0.000232612,0.0002445922,0.0003741711,0.002170174,0.01733332,0.8584227,0.002269979,0.001343273,0.09050728],"study_design_scores_gemma":[0.0001538966,0.003512221,0.6342229,0.000145221,0.0004661622,0.002669983,0.001930216,0.1910662,0.1450755,0.01604041,0.004464713,0.0002525384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773038,0.0001361092,0.02049788,0.0000574394,0.00003662191,0.00002587148,0.0001216753,0.0001147688,0.001705981],"genre_scores_gemma":[0.9942244,0.00008177173,0.005067038,0.00003971634,0.00001741585,0.00002139828,0.0001655002,0.00003027202,0.0003524483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001685828,"threshold_uncertainty_score":0.005639672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02426955810711169,"score_gpt":0.3307334339626616,"score_spread":0.30646387585555,"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."}}