{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002665671,0.0001283568,0.0002195444,0.001456721,0.0007326761,0.0008692684,0.000389218,0.0002290112,0.003824367],"category_scores_gemma":[0.007380741,0.00008975351,0.0002858906,0.001545756,0.0003701641,0.000607929,0.001281375,0.0005329085,0.0002781503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004800624,"about_ca_system_score_gemma":0.001067004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04563944,"about_ca_topic_score_gemma":0.08429705,"domain_scores_codex":[0.9991544,0.0002965271,0.00004483606,0.0001833059,0.0001476339,0.0001733524],"domain_scores_gemma":[0.9961021,0.001105838,0.001684764,0.0003194004,0.0004476369,0.0003401999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006377144,0.00003411364,0.9801019,0.00004577573,0.00008402488,0.00004372089,0.0009981014,0.0002853675,0.0002447315,0.001924152,0.001672359,0.01450188],"study_design_scores_gemma":[0.000002433653,0.00002596676,0.9932953,0.0001227724,0.00002623104,0.00002021304,0.001612475,0.0005097939,0.000110259,0.0005166872,0.003754395,0.000003476697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909598,0.001173747,0.0004962833,0.001468812,0.00004279684,0.000006075419,0.001564118,0.000006960714,0.004281489],"genre_scores_gemma":[0.9980039,0.0002964572,0.0001949927,0.0001266905,0.00003274012,0.00000582008,0.0007579068,0.000002960105,0.0005785118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04563944,"threshold_uncertainty_score":0.09074759,"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."}}