{"id":"W2228626059","doi":"10.2139/ssrn.881049","title":"Rivalries, Talent Acquisition and Revenue Sharing","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; University of Lethbridge","funders":"","keywords":"Revenue sharing; Revenue; Business; Industrial organization; Finance","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":[0.001907499,0.0004262999,0.001019738,0.001422909,0.001062388,0.004168858,0.0009327724,0.002096064,0.0299608],"category_scores_gemma":[0.01602266,0.0002932638,0.0005232336,0.001525282,0.002103901,0.002986207,0.001847178,0.001674699,0.001751641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660911,"about_ca_system_score_gemma":0.001216079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005819458,"about_ca_topic_score_gemma":0.007208314,"domain_scores_codex":[0.9986218,0.0003712313,0.00007214304,0.0001992374,0.0002016009,0.0005340385],"domain_scores_gemma":[0.9772874,0.0107586,0.006252849,0.001035591,0.0008663621,0.003799214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002145444,0.002207333,0.6132428,0.0003302443,0.0005640038,0.002903473,0.001625913,0.04649446,0.003837911,0.2270808,0.009475837,0.09009179],"study_design_scores_gemma":[0.0003008352,0.001521386,0.5559881,0.00009914194,0.0003764291,0.002428564,0.004927813,0.06908607,0.001063333,0.3548477,0.009209391,0.0001512122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522067,0.001343753,0.004441242,0.001371773,0.00002649132,0.0000527989,0.0002329997,0.00005027001,0.04027398],"genre_scores_gemma":[0.9955974,0.0001164672,0.0001058822,0.0000316499,0.00002426585,0.000004602133,0.0000373583,0.000002902227,0.004079496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0299608,"threshold_uncertainty_score":0.1002288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215247393999641,"score_gpt":0.2046154490485025,"score_spread":0.1924629751085061,"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."}}