{"id":"W7097518003","doi":"","title":"WILLINGNESS TO PAY FOR AMATEUR SPORT AND RECREATION","year":2006,"lang":"en","type":"article","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Willingness to pay; Contingent valuation; Recreation; League; Amateur; Household income; Willingness to accept","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001029154,0.0001698212,0.0001893749,0.0007609552,0.0005694558,0.001090225,0.0003787563,0.00053275,0.01069925],"category_scores_gemma":[0.005220279,0.00009102937,0.0003232019,0.0007716156,0.0003481574,0.0003289111,0.000332079,0.0003838277,0.000739264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002589745,"about_ca_system_score_gemma":0.001338479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1924593,"about_ca_topic_score_gemma":0.2578744,"domain_scores_codex":[0.9990803,0.0002561721,0.00002661383,0.00007042666,0.0003933785,0.0001731198],"domain_scores_gemma":[0.9985443,0.0005318268,0.0002072418,0.000142664,0.0003083572,0.0002657048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004711927,0.0004530422,0.8134741,0.00009101209,0.0002447452,0.0003395496,0.001635868,0.007680509,0.001409157,0.02513085,0.01826284,0.1308072],"study_design_scores_gemma":[0.00001904975,0.0001502176,0.9641494,0.00003342621,0.00003669674,0.0002935842,0.002090673,0.01072288,0.0002400366,0.004455777,0.01776864,0.000039644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9335212,0.0004345499,0.003208768,0.0008006831,0.00002832173,0.0001246688,0.002718246,0.00004837351,0.0591153],"genre_scores_gemma":[0.9920567,0.0001015434,0.0006687463,0.00006474634,0.000008644535,0.00003247386,0.001078001,0.000003400255,0.005985791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1924593,"threshold_uncertainty_score":0.3826781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05619133080636669,"score_gpt":0.2019475701295644,"score_spread":0.1457562393231978,"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."}}