{"id":"W4415195909","doi":"10.3390/vision9040088","title":"Comparing Visual Search Efficiency Across Different Facial Characteristics","year":2025,"lang":"en","type":"article","venue":"Vision","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Facial recognition system; Identity (music); Face (sociological concept); Visual search; Outcome (game theory); Face perception","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":[0.0008078684,0.000306157,0.0004872934,0.0008326501,0.000114887,0.0005316358,0.0002350392,0.0003999687,0.002165813],"category_scores_gemma":[0.008398328,0.000126178,0.0002891576,0.0003412536,0.0001883244,0.0009260658,0.000348622,0.0002665109,0.000394993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001511096,"about_ca_system_score_gemma":0.0001233443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008599971,"about_ca_topic_score_gemma":0.0008647701,"domain_scores_codex":[0.9996411,0.00006898499,0.00005561139,0.0001016516,0.00008563781,0.00004694338],"domain_scores_gemma":[0.9947079,0.003886986,0.0005612865,0.0003790762,0.0002946955,0.0001700794],"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":[0.009078952,0.000651642,0.1953784,0.0003892732,0.0004028564,0.0001961339,0.0007941998,0.002643483,0.6909693,0.0006431197,0.0004344006,0.09841814],"study_design_scores_gemma":[0.00007318589,0.001697147,0.9337874,0.00001557232,0.0001175518,0.0004774732,0.0003234355,0.01259137,0.04990502,0.0006656607,0.0002964258,0.00004971486],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982517,0.0001003583,0.001011711,0.000007188075,0.000002772561,0.000008385107,0.00008124571,0.00001535621,0.0005213385],"genre_scores_gemma":[0.9974324,0.00006794415,0.001552842,0.00001085274,0.000003747724,0.00002585538,0.0003018958,0.00002569535,0.0005786828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002165813,"threshold_uncertainty_score":0.007245421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06592252069498651,"score_gpt":0.3970950518507235,"score_spread":0.331172531155737,"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."}}