{"id":"W4410340542","doi":"10.1123/jsm.2024-0371","title":"Economic Impact, Fiscal Loss, and Redistribution of Wealth in Sport Events","year":2025,"lang":"en","type":"article","venue":"Journal of Sport Management","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Redistribution (election); Redistribution of income and wealth; Economics; Monetary economics; Macroeconomics; Political science; Politics","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":[0.001450849,0.0002555146,0.0002065475,0.001941416,0.001510048,0.002685673,0.0005361049,0.0006080985,0.009306112],"category_scores_gemma":[0.005216376,0.0001753604,0.0002181081,0.001331943,0.00354542,0.002268038,0.003106445,0.0009289003,0.0003442867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002847411,"about_ca_system_score_gemma":0.001060235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004521767,"about_ca_topic_score_gemma":0.008213527,"domain_scores_codex":[0.9992918,0.0002594428,0.0000411187,0.00005044945,0.0001512975,0.0002059021],"domain_scores_gemma":[0.9976483,0.0006410552,0.001073603,0.0001184847,0.0002869865,0.0002315943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0009790733,0.0009498958,0.3277814,0.0003088965,0.0001263414,0.001963269,0.006129158,0.02389791,0.001500738,0.5496483,0.004610009,0.08210492],"study_design_scores_gemma":[0.00007163008,0.0005838468,0.4996049,0.0005660527,0.0001355417,0.0008491402,0.03228729,0.01727638,0.001646698,0.4094619,0.03742427,0.00009245246],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8552116,0.0007875651,0.006839096,0.003247031,0.00007501634,0.00008636238,0.0001820525,0.00001790622,0.1335534],"genre_scores_gemma":[0.9958978,0.0002197779,0.0003107958,0.00006672355,0.00002485936,0.0000138672,0.00003278279,0.000003021531,0.00343027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009306112,"threshold_uncertainty_score":0.03113204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009935411216950416,"score_gpt":0.3223255584468622,"score_spread":0.3123901472299118,"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."}}