{"id":"W7096400877","doi":"","title":"JOURNAL OF SPORTS ECONOMICS / November 2000Lavoie / PAY DISCRIMINATI N I THE NHL Research Notes and Commentary The Location of Pay Discrimination in the National Hockey League","year":2016,"lang":"en","type":"article","venue":"","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"League; Salary; Position (finance); Outcome (game theory); Ice hockey","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":[0.003459593,0.0004928793,0.0008971834,0.002852902,0.002374283,0.006112755,0.001627433,0.01049557,0.02369291],"category_scores_gemma":[0.01717515,0.0003763133,0.0004079851,0.004872781,0.005334318,0.002673695,0.001293162,0.005562352,0.005540338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005925179,"about_ca_system_score_gemma":0.00515262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07459851,"about_ca_topic_score_gemma":0.07599645,"domain_scores_codex":[0.9975605,0.0007864286,0.0001939312,0.000350089,0.0008924237,0.0002166981],"domain_scores_gemma":[0.9778258,0.01482417,0.001360593,0.0008532777,0.004068486,0.001067771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002569337,0.00002614305,0.0008903534,0.0001376722,0.000009226022,0.00007050725,0.0003109891,0.00006219935,0.00002063554,0.02749412,0.9643765,0.006575961],"study_design_scores_gemma":[0.00003210946,0.00002066618,0.007068825,0.001541542,0.00001521201,0.00007176449,0.001025082,0.0002355315,0.00006702737,0.01927271,0.9706137,0.00003597848],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001771019,0.04226569,0.0001389151,0.8902227,0.01971352,0.000008432409,0.0005666289,0.00002627691,0.04528674],"genre_scores_gemma":[0.1435293,0.1028586,0.0006357629,0.3969194,0.2101804,0.00008201011,0.0007991809,0.0001695449,0.1448258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07459851,"threshold_uncertainty_score":0.1483285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1047457813856939,"score_gpt":0.3064881370324166,"score_spread":0.2017423556467226,"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."}}