{"id":"W2332088928","doi":"10.1177/0001839216639577","title":"Whitened Résumés","year":2016,"lang":"en","type":"article","venue":"Administrative Science Quarterly","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":418,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Stanford Bio-X; University of Toronto; Harvard University","keywords":"Seekers; Diversity (politics); Transparency (behavior); Disadvantage; Audit; Racism; Racial diversity; Social psychology; Presentation (obstetrics); Equal employment opportunity; Inequality; Psychology; Sociology; Ethnic group; Political science; Economics; Law; Management; Gender studies; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.001938218,0.0001051316,0.0001156067,0.0002321252,0.001490917,0.000470621,0.0008231516,0.00005263671,0.001602002],"category_scores_gemma":[0.0007384397,0.000073299,0.00005923174,0.00101764,0.004416353,0.001669575,0.00001697242,0.00007164801,0.0007135526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001825368,"about_ca_system_score_gemma":0.001952524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004569396,"about_ca_topic_score_gemma":0.003154839,"domain_scores_codex":[0.9971218,0.0001950766,0.0002061558,0.0004464668,0.001388299,0.0006422059],"domain_scores_gemma":[0.9984536,0.0002171206,0.00007728193,0.0002616167,0.0005706157,0.000419748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002860624,0.0002007584,0.01621531,0.000005900326,0.000008136797,0.00002490633,0.02896225,2.753044e-8,0.0234008,0.8202085,0.004540488,0.1064043],"study_design_scores_gemma":[0.002882087,0.005148048,0.3136024,0.0001672489,0.00004187996,0.00001387089,0.2352922,0.00002338355,0.01838005,0.3068448,0.1158156,0.001788334],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3551647,0.00003241871,0.002093804,0.02238969,0.0007392848,0.0004214767,0.00002557991,0.000147399,0.6189857],"genre_scores_gemma":[0.9773057,0.00001011217,0.0002661927,0.000122853,0.0001597591,0.0000205342,6.740413e-7,0.000004917989,0.02210933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6221409,"threshold_uncertainty_score":0.999809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1043334588649695,"score_gpt":0.4490576440112576,"score_spread":0.3447241851462881,"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."}}