{"id":"W4417482963","doi":"10.1111/ssqu.70089","title":"Revisiting Racial Disparities in NBA Career Longevity","year":2025,"lang":"en","type":"article","venue":"Social Science Quarterly","topic":"Sport Psychology and Performance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Longevity; Basketball; Race (biology); Regression analysis; Inequality; Statistical discrimination","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":[],"consensus_categories":[],"category_scores_codex":[0.001189304,0.0001088923,0.0001886101,0.0002099132,0.0005253663,0.00005969976,0.0004198817,0.0001393243,0.0005237043],"category_scores_gemma":[0.00002507274,0.0001109697,0.00005570288,0.001123843,0.0008933152,0.0002916633,0.0000140252,0.0002958521,0.0001754747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007644299,"about_ca_system_score_gemma":0.0001189089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004228615,"about_ca_topic_score_gemma":0.0002126219,"domain_scores_codex":[0.9985412,0.00007395836,0.0002547977,0.0004016824,0.0001959952,0.0005323924],"domain_scores_gemma":[0.9995854,0.0000466294,0.00006938466,0.000197129,0.00005774142,0.00004375123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009414268,0.00007768795,0.5776334,0.00001703572,0.0000105476,0.00002487664,0.03313698,2.715366e-7,0.0002343799,0.1140209,0.001624007,0.2731258],"study_design_scores_gemma":[0.0003689289,0.00004955325,0.9902149,0.00002266254,0.000005579328,0.000001781803,0.004090203,0.000006927644,0.00001299521,0.00255791,0.002542429,0.0001261499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7765826,0.0001543904,0.00008631228,0.001565246,0.001860881,0.0001151342,0.00000391622,0.0000434108,0.2195881],"genre_scores_gemma":[0.9969342,0.000001383777,0.00002617381,0.0008945282,0.0003687181,0.00003121241,0.000002163602,0.00000411137,0.001737522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4125815,"threshold_uncertainty_score":0.5734195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02194807078089561,"score_gpt":0.3649246745393555,"score_spread":0.3429766037584598,"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."}}