{"id":"W2121263531","doi":"10.1068/p5098","title":"An Encoding Advantage for Own-Race versus Other-Race Faces","year":2003,"lang":"en","type":"article","venue":"Perception","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":183,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Science Foundation","keywords":"Race (biology); Psychology; Perception; Morphing; Face (sociological concept); Encoding (memory); Cognitive psychology; Social psychology; Computer science; Artificial intelligence; Gender studies; Sociology; 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":[0.0004163391,0.0001794662,0.0003000769,0.0001800702,0.0001079804,0.0003771069,0.0001689955,0.0002221055,0.005236827],"category_scores_gemma":[0.00175152,0.0001327295,0.0001760893,0.00007824142,0.000251937,0.0006932077,0.0004517854,0.0004195295,0.0002640203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009653188,"about_ca_system_score_gemma":0.00008713255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002939033,"about_ca_topic_score_gemma":0.000538941,"domain_scores_codex":[0.9998098,0.00003243945,0.0000182312,0.00005807689,0.00005591536,0.00002559079],"domain_scores_gemma":[0.9988775,0.0004499101,0.0002069961,0.0002182556,0.0001260654,0.0001212783],"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":[0.0007647237,0.00007817406,0.007966949,0.00006524448,0.00002694743,0.0001269549,0.0002798042,0.00003156771,0.9745079,0.0003252026,0.0001132551,0.01571324],"study_design_scores_gemma":[0.00007088079,0.001702316,0.6024727,0.00002997008,0.0001584814,0.002968308,0.000586678,0.001394186,0.3872932,0.001417479,0.001867157,0.00003854497],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980302,0.00008164801,0.0006684628,0.00002529694,0.00001182875,0.000003202455,0.00002390642,0.00001176114,0.001143741],"genre_scores_gemma":[0.9977623,0.00007223971,0.001259,0.00003778938,0.000006659164,0.000004068162,0.00005901141,0.00001371416,0.0007851057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005236827,"threshold_uncertainty_score":0.01751894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09994521136252718,"score_gpt":0.3680491165446966,"score_spread":0.2681039051821694,"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."}}