{"id":"W2979809073","doi":"10.1080/17430437.2019.1673371","title":"The social impact of participative sporting events: a cluster analysis of marathon participants based on perceived benefits","year":2019,"lang":"en","type":"article","venue":"Sport in Society","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Cluster (spacecraft); Applied psychology; Social psychology; Political science; Public relations; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002229235,0.0003109331,0.0005465884,0.002525493,0.001364017,0.001377477,0.0006757611,0.0004617278,0.002732874],"category_scores_gemma":[0.004286687,0.0001841173,0.0006838152,0.001847926,0.0006960694,0.0005382631,0.001932012,0.0005964843,0.0003896388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007376816,"about_ca_system_score_gemma":0.0008218556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01144869,"about_ca_topic_score_gemma":0.01496159,"domain_scores_codex":[0.9990175,0.0002866066,0.00009237936,0.0001995586,0.0002457112,0.0001582886],"domain_scores_gemma":[0.9973974,0.0006599961,0.0005497379,0.0001756557,0.000781511,0.0004356585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001435023,0.0005685666,0.8070181,0.00039493,0.0004325982,0.0003777394,0.143236,0.0002694083,0.002944168,0.0005379365,0.002762832,0.04002277],"study_design_scores_gemma":[0.00001397332,0.000215526,0.9338229,0.00004078123,0.00006122525,0.00008806896,0.06375656,0.0005383166,0.0001808221,0.0001781514,0.001072739,0.00003092735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985381,0.00005801093,0.0002456081,0.00006938842,0.000008653365,0.0001125799,0.0004475288,0.000005591424,0.0005145263],"genre_scores_gemma":[0.9974952,0.00005953191,0.0005077746,0.00001995424,0.0000102259,0.0002638838,0.0008184643,0.000009455082,0.0008155721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01144869,"threshold_uncertainty_score":0.02276409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05117240184426534,"score_gpt":0.4002596941852877,"score_spread":0.3490872923410224,"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."}}