{"id":"W2057885440","doi":"10.3758/s13421-013-0316-7","title":"Same faces, different labels: Generating the cross-race effect in face memory with social category information","year":2013,"lang":"en","type":"article","venue":"Memory & Cognition","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Aging","keywords":"Psychology; Race (biology); Recognition memory; Encoding (memory); Facial recognition system; Social psychology; Face (sociological concept); Block (permutation group theory); False memory; Test (biology); Cognitive psychology; Cognition; Pattern recognition (psychology); Linguistics; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004765732,0.0002573656,0.000214795,0.0001433575,0.0005544212,0.0004388173,0.000165385,0.0001325648,0.0007551837],"category_scores_gemma":[0.0003423128,0.0001739671,0.00006180871,0.0003020194,0.0001910436,0.00157927,0.00004940687,0.0004020436,0.001134045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001099827,"about_ca_system_score_gemma":0.00003024639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001819791,"about_ca_topic_score_gemma":0.0001849899,"domain_scores_codex":[0.9978072,0.0007284519,0.000352799,0.0003049136,0.0004511849,0.0003554675],"domain_scores_gemma":[0.999114,0.0003537146,0.0001962535,0.0001563995,0.0001136136,0.0000659966],"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":[0.0002072276,0.0001876517,0.001039433,0.0002288336,0.00001318109,0.000004078927,0.01185607,0.001136069,0.6315117,0.00005632506,0.001240828,0.3525186],"study_design_scores_gemma":[0.007958544,0.0008705188,0.1819316,0.0002826884,0.0001159718,0.00008089394,0.00744655,0.05220632,0.7455288,0.001339434,0.0007159213,0.00152273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915335,0.00001194562,0.0009372116,0.0008084227,0.0002445911,0.001173975,0.00002885853,0.0001487463,0.005112819],"genre_scores_gemma":[0.9965202,0.00002534559,0.00003299187,0.002248892,0.0001496042,0.0004073144,0.0001291955,0.00002051935,0.0004658918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3509958,"threshold_uncertainty_score":0.9996437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0276486060586375,"score_gpt":0.2741043771707457,"score_spread":0.2464557711121081,"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."}}