{"id":"W3009892581","doi":"10.1177/1527002520906529","title":"Impacts of Performance-Enhancing Drug Suspensions on the Demand for Major League Baseball","year":2020,"lang":"en","type":"article","venue":"Journal of Sports Economics","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"League; Advertising; Quality (philosophy); Marketing; Business; Natural experiment; Medicine","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":[0.0009735275,0.0003105978,0.0002579498,0.0004052795,0.0004196195,0.001561902,0.0003276252,0.0007903026,0.007489603],"category_scores_gemma":[0.006458555,0.0002159918,0.0004971556,0.0003427686,0.0004145393,0.0004015275,0.0006632626,0.001302375,0.0007528476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690715,"about_ca_system_score_gemma":0.000544502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0352795,"about_ca_topic_score_gemma":0.02978031,"domain_scores_codex":[0.9991749,0.0003199961,0.00003495375,0.0001159379,0.0001605989,0.0001936868],"domain_scores_gemma":[0.9927248,0.003480081,0.002394804,0.0001813935,0.0004115241,0.0008075286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006712292,0.004600118,0.9359198,0.0001381521,0.000438245,0.0006442289,0.0008277728,0.004504291,0.0100133,0.001069422,0.003282091,0.03185035],"study_design_scores_gemma":[0.00007605634,0.001976221,0.9899131,0.00001168123,0.0001285701,0.00005241968,0.001314514,0.002970893,0.001701849,0.0002158715,0.001617378,0.0000214235],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947554,0.0001164769,0.00008841176,0.0003848931,0.00001504069,0.00001848548,0.0004951905,0.00001040243,0.004115654],"genre_scores_gemma":[0.9975968,0.00007296992,0.00004794776,0.0001267797,0.00001894185,0.00001143412,0.0003943022,0.000002794578,0.001728106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0352795,"threshold_uncertainty_score":0.07014835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03018201045140632,"score_gpt":0.2097782503913193,"score_spread":0.1795962399399129,"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."}}