{"id":"W2917100793","doi":"10.3390/ijfs7010012","title":"Attendance in the Canadian Hockey League: The Impact of Winning, Fighting, Uncertainty of Outcome, and Weather on Junior Hockey Attendance","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Studies","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Attendance; League; Outcome (game theory); Advertising; Psychology; Demographic economics; Business; Economics; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009735374,0.0001258285,0.0004350314,0.0002513543,0.00007423572,0.00003360331,0.0004668245,0.00004556528,0.000062356],"category_scores_gemma":[0.0002695454,0.00007613755,0.0001803702,0.0001635718,0.0001358313,0.00013811,0.00003978058,0.000248772,0.000008249355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001970058,"about_ca_system_score_gemma":0.0001160265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03630009,"about_ca_topic_score_gemma":0.04454833,"domain_scores_codex":[0.9987362,0.00001464057,0.0008105236,0.0001267555,0.0001439642,0.0001678936],"domain_scores_gemma":[0.9983918,0.0001257177,0.001036763,0.0001439411,0.0002708595,0.00003091933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005946568,0.000039344,0.9749869,0.000011348,0.0001377597,0.000009978325,0.002168474,0.004223797,0.00000396223,0.01573644,0.001871981,0.0007505295],"study_design_scores_gemma":[0.0005124595,0.0002147504,0.9848676,0.0001383601,0.000006652851,0.00001239942,0.0003390974,0.00057249,0.000008629717,0.001833002,0.01139945,0.00009508315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921766,0.002923861,0.00001176521,0.002325929,0.0005600685,0.00009415169,0.0000922423,8.838122e-7,0.001814511],"genre_scores_gemma":[0.9984537,0.0007418917,0.00002145667,0.0003793488,0.0001785323,0.000002092133,0.000001168457,0.000007150508,0.0002146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01390344,"threshold_uncertainty_score":0.9728861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04459331741452272,"score_gpt":0.3086568087347297,"score_spread":0.264063491320207,"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."}}