{"id":"W3128335637","doi":"10.33423/jabe.v22i4.2909","title":"Broadcasting Revenues and Sporting Success in European Football: Evidence from the Big Five Leagues","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"League; Revenue; Football; Competition (biology); Broadcasting (networking); Distribution (mathematics); Business; Advertising; Club; Marketing; Political science; Finance; Computer science","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":[0.0007734939,0.0001209214,0.0003995383,0.0000675824,0.00008772415,0.0001789626,0.0001952547,0.00003666011,0.00001579554],"category_scores_gemma":[0.00009175042,0.0001045437,0.00003967067,0.0001357944,0.00005779966,0.0002671139,0.00009825297,0.000195198,0.000006250736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002242319,"about_ca_system_score_gemma":0.00002141471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002923312,"about_ca_topic_score_gemma":0.0000741752,"domain_scores_codex":[0.9987745,0.000004851583,0.0008418533,0.000210566,0.00002058722,0.0001476599],"domain_scores_gemma":[0.9986761,0.00009573082,0.001021201,0.00009966076,0.0000350172,0.0000723494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002289289,0.00003197596,0.9033144,0.000110759,0.00009141083,0.00003847938,0.006198531,0.01374593,0.00004483659,0.005593709,0.0002484815,0.07035256],"study_design_scores_gemma":[0.0006441227,0.00003741203,0.9639995,0.0002040799,0.00002026217,0.00001318164,0.0007316353,0.01872323,0.00002124261,0.002787554,0.01255966,0.0002581036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923565,0.004476326,0.0002636467,0.001902931,0.0001559537,0.00005750744,0.00001800967,0.000003327547,0.0007657377],"genre_scores_gemma":[0.9888423,0.009580534,0.0002781682,0.0005978519,0.0006736603,5.122045e-7,0.000002292516,0.00001700324,0.000007649161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07009446,"threshold_uncertainty_score":0.4263168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06140321353786094,"score_gpt":0.2079630984215701,"score_spread":0.1465598848837092,"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."}}