{"id":"W2136154492","doi":"10.1177/1012690205057191","title":"Stratification Patterns of Active Sport Involvement Among Adults","year":2005,"lang":"en","type":"article","venue":"International Review for the Sociology of Sport","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Social class; Social inequality; Logistic regression; Correspondence analysis; Social stratification; Sociology of sport; Context (archaeology); Perspective (graphical); Inequality; Sociology; Psychology; Social psychology; Demographic economics; Geography; Gender studies; Social science; Political science","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":[0.0002847969,0.0001171278,0.0001895355,0.001059137,0.0002376083,0.000423082,0.0001347719,0.000241779,0.001251179],"category_scores_gemma":[0.001047161,0.0001058928,0.0002218913,0.0009220048,0.0002126415,0.0004214668,0.0003757098,0.0001625185,0.0002310013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002329488,"about_ca_system_score_gemma":0.0001584244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0132393,"about_ca_topic_score_gemma":0.02004948,"domain_scores_codex":[0.9997311,0.00005587866,0.00003747639,0.00006599756,0.00004829857,0.00006131227],"domain_scores_gemma":[0.9995416,0.00005821162,0.0002251252,0.00002376162,0.00007234301,0.00007899019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004901295,0.00001790274,0.9934562,0.00001228728,0.00002436912,0.00003844115,0.001097654,0.00001537453,0.0002173799,0.00004963645,0.00007936006,0.004942446],"study_design_scores_gemma":[7.035673e-7,0.00002873068,0.9990397,0.000005269086,0.000003791299,0.00005770264,0.0006655835,0.00002780796,0.00001523717,0.00002261177,0.000131263,0.000001519924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998943,0.0002555577,0.00005772606,0.00002984052,0.000001612068,0.000005148523,0.0001816569,0.000002273094,0.0005231404],"genre_scores_gemma":[0.9994683,0.0001173342,0.00004251755,0.000006673413,0.000001888645,0.000004423735,0.0002031218,7.430285e-7,0.0001549955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0132393,"threshold_uncertainty_score":0.02632445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0413891688934816,"score_gpt":0.3691400540101272,"score_spread":0.3277508851166456,"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."}}