{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004579797,0.000199215,0.0003941882,0.001701106,0.00287658,0.003088049,0.0008509438,0.0008567387,0.01993696],"category_scores_gemma":[0.002488598,0.0001464919,0.0003271477,0.002674637,0.002309048,0.002723801,0.003791076,0.001135591,0.0005079011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239451,"about_ca_system_score_gemma":0.00108343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05831672,"about_ca_topic_score_gemma":0.1816447,"domain_scores_codex":[0.9992272,0.0002086719,0.00002221609,0.00006819727,0.00008210963,0.0003916582],"domain_scores_gemma":[0.9982104,0.0003479334,0.0003945834,0.00006107223,0.0001666586,0.0008192993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004121907,0.0009496557,0.8790683,0.00009859152,0.0001320201,0.0006603532,0.01620419,0.0008880547,0.0002741716,0.05560162,0.003735715,0.04197527],"study_design_scores_gemma":[0.00002079992,0.0001107925,0.8703345,0.000174983,0.00005147578,0.0001353146,0.1033665,0.0009735474,0.00009362844,0.01619471,0.008522122,0.00002160092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678057,0.0007004979,0.0002734924,0.003035543,0.00005307731,0.000009112398,0.0002883451,0.000004446351,0.02782975],"genre_scores_gemma":[0.9978073,0.0001801527,0.00003366028,0.00005533301,0.00003548493,0.00000576906,0.00007044111,0.00000239692,0.00180958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05831672,"threshold_uncertainty_score":0.1159545,"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."}}