{"id":"W7134655182","doi":"","title":"Fan Substitution Between North American Professional Sports Leagues","year":2015,"lang":"en","type":"article","venue":"Journal of International Crisis and Risk Communication Research","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"League; Football; Sports economics; Privilege (computing); Competition (biology); Substitution (logic); American football","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":[0.0004540471,0.0002749646,0.0003638862,0.002216222,0.0008242367,0.001167665,0.0004896083,0.0002457129,0.006530848],"category_scores_gemma":[0.002163262,0.0001587841,0.0003653982,0.002299046,0.0003221937,0.0004104988,0.0005840787,0.0004530501,0.0008246998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00334169,"about_ca_system_score_gemma":0.002336043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7662625,"about_ca_topic_score_gemma":0.8533447,"domain_scores_codex":[0.999429,0.00006345539,0.00002200023,0.0001314607,0.000201285,0.0001527962],"domain_scores_gemma":[0.9980723,0.0003037503,0.0005954997,0.00008264174,0.0005618556,0.0003840479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002230425,0.0001136851,0.975709,0.00003501177,0.0001133341,0.0001628925,0.0009293268,0.001714453,0.0003107237,0.001234243,0.006279319,0.01317508],"study_design_scores_gemma":[0.00001274009,0.00003026353,0.9880056,0.00002188526,0.00002754918,0.00005826809,0.002064715,0.003355901,0.0001747048,0.0002381126,0.005994565,0.0000157194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884416,0.0002051754,0.0002324707,0.0000889182,0.000005649159,0.00001841445,0.003722377,0.00001874705,0.007266646],"genre_scores_gemma":[0.9898264,0.0001449304,0.0001967818,0.00004216996,0.000005930739,0.0000174081,0.005764912,0.000006838039,0.003994596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7662625,"threshold_uncertainty_score":0.470228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1325287722666115,"score_gpt":0.3818687616810411,"score_spread":0.2493399894144296,"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."}}