{"id":"W2111570738","doi":"10.1016/j.neuropsychologia.2011.09.031","title":"The other face of the other-race effect: An fMRI investigation of the other-race face categorization advantage","year":2011,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Categorization; Psychology; Race (biology); Functional magnetic resonance imaging; Fusiform gyrus; Face perception; Neural correlates of consciousness; Cognitive psychology; Face (sociological concept); Fusiform face area; Developmental psychology; Cognition; Perception; Neuroscience; Artificial intelligence; Computer science","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":[0.0006425248,0.0002498159,0.0004093334,0.0003073437,0.0004129435,0.0007626844,0.0005999697,0.000651461,0.005918378],"category_scores_gemma":[0.001958069,0.0002557795,0.0003187259,0.0001678263,0.0007477197,0.00164133,0.0005701095,0.001014485,0.0003285529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002001573,"about_ca_system_score_gemma":0.0003536676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006213478,"about_ca_topic_score_gemma":0.0009305049,"domain_scores_codex":[0.999851,0.00002113371,0.000005289231,0.00005680686,0.00004218569,0.00002355274],"domain_scores_gemma":[0.9995041,0.0002489316,0.00007247633,0.00007653412,0.00003412108,0.00006393007],"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":[0.001963056,0.0002610806,0.002311759,0.0001358607,0.00005421085,0.0004583292,0.0004497492,0.000116245,0.9694594,0.007080419,0.0006625263,0.01704733],"study_design_scores_gemma":[0.001604863,0.003400947,0.5219584,0.0001400337,0.0007825777,0.01565836,0.00181153,0.01832758,0.3518517,0.07030003,0.01400149,0.0001625307],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816779,0.0004628076,0.004433927,0.0007244539,0.0001366986,0.00004863111,0.0001676283,0.00004006078,0.01230786],"genre_scores_gemma":[0.9929348,0.0002014799,0.003999764,0.000425136,0.0001488576,0.00003678005,0.0001341947,0.00009860496,0.002020328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005918378,"threshold_uncertainty_score":0.01979899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05828110249805669,"score_gpt":0.2990576302547104,"score_spread":0.2407765277566538,"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."}}