{"id":"W4401205151","doi":"10.3390/encyclopedia4030076","title":"Revenue Sharing in Professional Sports Leagues","year":2024,"lang":"en","type":"article","venue":"Encyclopedia","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Revenue sharing; League; Revenue; Club; Profit (economics); Revenue model; Marginal revenue; Salary; Business; Sports economics; Economics; Football; Marketing; Industrial organization; Microeconomics; Finance; Political science; Market economy","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004085723,0.00008817594,0.0001682776,0.0002106496,0.00003415057,0.000047469,0.0001250903,0.00005937855,0.001249109],"category_scores_gemma":[0.00001952834,0.00009205453,0.00005302037,0.0002481046,0.00001595579,0.0002046362,0.0000462453,0.0001886949,0.0005237637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004216085,"about_ca_system_score_gemma":0.00002286143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001126947,"about_ca_topic_score_gemma":0.00005011699,"domain_scores_codex":[0.9990852,0.000001530568,0.0003714916,0.0003109803,0.00003646538,0.0001943025],"domain_scores_gemma":[0.9997141,0.00001341018,0.00005562718,0.0001702986,0.000005700191,0.00004082488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002941617,0.00002968951,0.9035242,0.00006387609,0.000007197405,0.00009351846,0.0007594882,0.0001044324,8.287563e-7,0.08131332,0.01053442,0.003566076],"study_design_scores_gemma":[0.00006170892,0.000006630511,0.3594865,0.0001090827,0.000001481269,0.000003049903,0.00001759933,0.006233645,0.000002302187,0.01981717,0.6141224,0.0001384597],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8747717,0.006266348,0.00005294247,0.0004066848,0.003272094,0.00009087812,0.00005111887,0.00003892123,0.1150493],"genre_scores_gemma":[0.9399023,0.00207813,0.0000749724,0.00008390823,0.0003736223,0.000008274425,0.00001472215,0.00001755365,0.05744652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6035879,"threshold_uncertainty_score":0.9996639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01951533671860116,"score_gpt":0.2416208475525393,"score_spread":0.2221055108339381,"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."}}