{"id":"W3123299803","doi":"10.71889/5fylantbak.30789716","title":"Willingness-To-Pay For Sporting Success Of Football Bundesliga Teams","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Sports, Gender, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Football; Willingness to pay; Contingent valuation; Payment; Promotion (chess); Outcome (game theory); Valuation (finance); Business; Public good; Marketing; Actuarial science; Advertising; Economics; Microeconomics; Political science; 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":[0.002009894,0.000180356,0.0003327213,0.000762603,0.00036841,0.001338988,0.0002501112,0.0006287502,0.008024077],"category_scores_gemma":[0.007136009,0.00009947007,0.0004361896,0.0004293883,0.0003287735,0.0004946704,0.0005750752,0.0004903194,0.0007721684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004134405,"about_ca_system_score_gemma":0.0002220993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002824247,"about_ca_topic_score_gemma":0.002340718,"domain_scores_codex":[0.9989522,0.0004820834,0.00004687497,0.0001235434,0.0001637808,0.0002315074],"domain_scores_gemma":[0.9953009,0.002200122,0.00104728,0.0002249607,0.0002803606,0.0009462848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005486496,0.0004281049,0.9782843,0.00003526828,0.0001675531,0.0001321121,0.001203081,0.0008791577,0.0004714097,0.001261072,0.0006891933,0.01589997],"study_design_scores_gemma":[0.00001636969,0.0002123026,0.9952361,0.00001479341,0.00002717681,0.00009715065,0.001731344,0.001031415,0.00006571824,0.0009082889,0.0006453038,0.00001407123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966574,0.0001033338,0.0001837703,0.0001096626,0.000007327086,0.000006804222,0.00009110913,0.000002410785,0.002838117],"genre_scores_gemma":[0.9994474,0.00001789122,0.0000330949,0.00001068909,0.00000343826,0.000005519521,0.00006545952,7.961505e-7,0.0004156995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008024077,"threshold_uncertainty_score":0.02684319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05155157311376959,"score_gpt":0.3783246623785929,"score_spread":0.3267730892648233,"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."}}