{"id":"W1984929825","doi":"10.1007/s11293-005-1652-1","title":"The NHL’s Overtime-Loss Rule: Empirically Analyzing the Unintended Effects","year":2005,"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":"University of Regina","funders":"","keywords":"Overtime; Public finance; Economics; Unintended consequences; Econometrics; Macroeconomics; Labour economics; Political science; Law","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001663839,0.0002101039,0.0003965417,0.0001179594,0.0008979582,0.0005649442,0.0007065475,0.00008033022,0.0009816263],"category_scores_gemma":[0.00008557606,0.0001369479,0.0002844415,0.0001079475,0.0001900829,0.0003089274,0.00008753982,0.0005292996,0.002043365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002660542,"about_ca_system_score_gemma":0.00007876139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001876413,"about_ca_topic_score_gemma":0.0001725935,"domain_scores_codex":[0.9981003,0.00002433729,0.0009991699,0.0002785231,0.00004404733,0.00055358],"domain_scores_gemma":[0.9984136,0.0002346309,0.0007051089,0.0004645516,0.00003262033,0.0001495195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006006303,0.00007456271,0.7360795,0.00001677435,0.0006474704,0.00003557628,0.0004885068,0.006511732,0.00000795741,0.1977003,0.04738269,0.01099482],"study_design_scores_gemma":[0.0008480998,0.00006790492,0.1281056,0.00003402757,0.00004184061,0.0002926312,0.00006468612,0.07733415,0.0000273948,0.02417426,0.7686164,0.0003930235],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9547135,0.005655725,0.001924278,0.01788914,0.001772122,0.0002001807,0.00001393981,0.00002955562,0.01780157],"genre_scores_gemma":[0.99217,0.003214513,0.0001202629,0.001152641,0.001271753,0.000005850146,0.00000349865,0.00002891914,0.002032588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7212337,"threshold_uncertainty_score":0.9999316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220575272977138,"score_gpt":0.220978689478358,"score_spread":0.2087729367485866,"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."}}