{"id":"W1543112221","doi":"10.1177/155862350600100104","title":"Developing a Profitability Model for Professional Sport Leagues: The Case of the National Hockey League","year":2006,"lang":"en","type":"article","venue":"International Journal of Sport Finance","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Carleton University","funders":"","keywords":"Profitability index; League; Marketing; Business; Competition (biology); Industrial organization; Basketball; Economics; Microeconomics; 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":[0.002010697,0.0007077135,0.0005346666,0.001240342,0.000822952,0.002430775,0.00114465,0.001075743,0.003531301],"category_scores_gemma":[0.004757353,0.0003005195,0.0008915747,0.0008945278,0.0008061884,0.00177409,0.001055978,0.001432407,0.0006410418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002337241,"about_ca_system_score_gemma":0.002130968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03506691,"about_ca_topic_score_gemma":0.02781326,"domain_scores_codex":[0.9992514,0.0003575069,0.00003084561,0.0001171327,0.0001193526,0.0001237238],"domain_scores_gemma":[0.9968808,0.002104793,0.000383893,0.00007919542,0.0003987686,0.0001525452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001877284,0.0005946443,0.1163578,0.0001246883,0.0001239378,0.001325332,0.001397416,0.6779845,0.001117028,0.1404188,0.004606793,0.05576139],"study_design_scores_gemma":[0.00002909476,0.0001179245,0.01467757,0.0000343722,0.00003314505,0.0001604828,0.000646289,0.9499409,0.000180813,0.03184209,0.002303382,0.00003386831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7806431,0.000489967,0.1860396,0.002656873,0.00005011509,0.000315314,0.0005349024,0.0001543303,0.02911575],"genre_scores_gemma":[0.9694152,0.0003007537,0.02488093,0.00009107385,0.00003453817,0.0001530839,0.0004076496,0.00002933502,0.004687382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9649331,"threshold_uncertainty_score":0.06972557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05039689141226592,"score_gpt":0.2885029143084296,"score_spread":0.2381060228961637,"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."}}