{"id":"W2286326801","doi":"","title":"Determinants of Attendance in the Quebec Major Junior Hockey League","year":2011,"lang":"en","type":"article","venue":"Atlantic Economic Journal","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"League; Public finance; Attendance; Economics; Demographic economics; Political science; Economic growth; Macroeconomics","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":[0.0007881394,0.0003130426,0.0003951841,0.001320188,0.002027291,0.002063319,0.001272637,0.001150696,0.01501247],"category_scores_gemma":[0.003023183,0.0002092852,0.0005485512,0.001842232,0.0006814389,0.0004401353,0.0007416412,0.001608486,0.001322813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01471449,"about_ca_system_score_gemma":0.0107388,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9857368,"about_ca_topic_score_gemma":0.9941489,"domain_scores_codex":[0.9990714,0.0001152159,0.00002955601,0.00009817171,0.0001754729,0.0005102983],"domain_scores_gemma":[0.9944637,0.0005077932,0.0007458626,0.0001016712,0.001527305,0.0026536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001974822,0.0002278921,0.9813705,0.0000155249,0.00009678108,0.0001024349,0.000469647,0.0009384631,0.0001472989,0.0006174733,0.008714793,0.007101705],"study_design_scores_gemma":[0.000006565569,0.00002216499,0.9958817,0.00002747584,0.0000121368,0.00001398458,0.001373352,0.001182958,0.0000274025,0.00005707625,0.001386211,0.000009142134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826617,0.0004536732,0.000206228,0.001655735,0.00005031721,0.00003316921,0.003553091,0.0000270192,0.01135899],"genre_scores_gemma":[0.9901692,0.0001246924,0.00004950805,0.0001055226,0.00001910085,0.000008167671,0.001019561,0.000008405021,0.008495907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01501247,"threshold_uncertainty_score":0.1067616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04204203610722624,"score_gpt":0.226167642034439,"score_spread":0.1841256059272127,"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."}}