{"id":"W2032093751","doi":"10.1177/1527002504264424","title":"Overtime! Rules and Incentives in the National Hockey League","year":2005,"lang":"en","type":"article","venue":"Journal of Sports Economics","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge; Simon Fraser University","funders":"","keywords":"League; CONTEST; Overtime; Incentive; Economics; Ice hockey; Microeconomics; Advertising; Econometrics; Business; Labour economics; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001213988,0.00009327169,0.0002757884,0.000241735,0.00004969458,0.00007695619,0.0001731858,0.00005071494,0.0002031264],"category_scores_gemma":[0.0000246782,0.0000802586,0.00008457705,0.00006032721,0.00004968301,0.0004052521,0.00002124324,0.0001713133,0.00002119431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000950188,"about_ca_system_score_gemma":0.00003665727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001693993,"about_ca_topic_score_gemma":0.00002393053,"domain_scores_codex":[0.9988701,0.000003282663,0.0008229639,0.0001244335,0.00004037343,0.0001388429],"domain_scores_gemma":[0.9990887,0.0000314303,0.0007165212,0.00008191419,0.00003731555,0.00004412269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004897773,0.000146508,0.7751169,0.00001235062,0.00005480549,0.00001329285,0.001384457,0.008142232,0.000001447919,0.2050959,0.002783573,0.007199561],"study_design_scores_gemma":[0.0005807496,0.00003739399,0.760826,0.00002375126,0.000005704099,0.0001034455,0.0001617359,0.01098323,0.000009735021,0.03171679,0.1953856,0.0001659217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862612,0.001834996,0.00003210503,0.001797635,0.0001568631,0.00004679756,0.00002122014,0.000001694717,0.009847486],"genre_scores_gemma":[0.9932736,0.004855392,0.0003851285,0.0008738018,0.0004080722,8.801634e-7,0.000002287686,0.000008670328,0.0001921733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.192602,"threshold_uncertainty_score":0.3272851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500720400073323,"score_gpt":0.2194409932962785,"score_spread":0.1944337892955453,"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."}}