{"id":"W1506505068","doi":"","title":"Out of Left Field: Social Inequality and Sports","year":2015,"lang":"en","type":"article","venue":"Alternate routes","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Inequality; Field (mathematics); Social inequality; Sociology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006471246,0.00006319858,0.0001437721,0.00002983731,0.00008335964,0.0000239281,0.0001078843,0.0000590381,0.00007025502],"category_scores_gemma":[0.0001870106,0.00005786197,0.00003496142,0.00004042555,0.00008229183,0.0001731515,0.00003869075,0.00005407902,0.000006264359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002045147,"about_ca_system_score_gemma":0.00009714229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004427072,"about_ca_topic_score_gemma":0.001587318,"domain_scores_codex":[0.9992021,0.00003980982,0.0001514054,0.0001048152,0.00031533,0.0001865868],"domain_scores_gemma":[0.999575,0.00004495675,0.0001035113,0.00007236176,0.00006762769,0.0001365257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005635501,0.00007981704,0.8513899,0.0000181623,0.00003421514,0.00002288412,0.0848621,9.112104e-7,0.0002082966,0.03460865,0.005538105,0.02318059],"study_design_scores_gemma":[0.002186878,0.0002922948,0.2138537,0.0001008039,0.0001062932,0.000005550466,0.0122577,0.00002167695,0.008757222,0.05666839,0.7049983,0.0007511821],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702603,0.0001160318,0.00002423978,0.001343044,0.0005647368,0.00007013301,0.000003396758,0.00002970089,0.02758845],"genre_scores_gemma":[0.9978669,0.00006068112,0.00006103073,0.000214145,0.0003616635,7.647272e-7,0.000002713813,0.000004688108,0.001427389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6994602,"threshold_uncertainty_score":0.6692439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07939501462788874,"score_gpt":0.3700624212274111,"score_spread":0.2906674065995224,"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."}}