{"id":"W1983478891","doi":"10.1037/0021-9010.93.4.758","title":"The White standard: Racial bias in leader categorization.","year":2008,"lang":"en","type":"article","venue":"Journal of Applied Psychology","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":486,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Categorization; White (mutation); Psychology; Race (biology); Social psychology; Inference; Artificial intelligence; Sociology; 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":[0.005283383,0.0002728439,0.0002549269,0.0003558428,0.0007445297,0.001062294,0.0003021631,0.0004797765,0.005664899],"category_scores_gemma":[0.01973265,0.0001804134,0.0001946991,0.0001605451,0.0009083707,0.0008638909,0.0009672743,0.000651782,0.0003444394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003620085,"about_ca_system_score_gemma":0.000304111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000844298,"about_ca_topic_score_gemma":0.001197797,"domain_scores_codex":[0.9981073,0.001048707,0.00006850377,0.0002705331,0.0004118035,0.0000931073],"domain_scores_gemma":[0.9866464,0.008784653,0.002086052,0.001249513,0.000568543,0.0006648018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.017089,0.01001557,0.3962938,0.0007521815,0.0004184533,0.000644256,0.03361306,0.001094215,0.2554433,0.05169259,0.007161985,0.2257816],"study_design_scores_gemma":[0.001549548,0.01393005,0.8239435,0.0003963059,0.0005901944,0.000950755,0.01327329,0.01715358,0.0587903,0.04299598,0.02620961,0.0002168873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819776,0.0001711815,0.002534663,0.0003155228,0.0001330525,0.000079909,0.00003161443,0.00002423554,0.01473207],"genre_scores_gemma":[0.9964792,0.00004080783,0.001460178,0.0002820092,0.00002062453,0.00006689782,0.00002523379,0.00001192387,0.001613048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005664899,"threshold_uncertainty_score":0.02794152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1819667105345674,"score_gpt":0.3669517841864293,"score_spread":0.1849850736518619,"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."}}