{"id":"W4244278282","doi":"10.1002/9781118445112.stat07965","title":"Hockey Analytics","year":2017,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Analytics; Computer science; Data 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00340367,0.001449349,0.0006680122,0.006784654,0.0009508963,0.007946906,0.00227087,0.0006618116,0.09526625],"category_scores_gemma":[0.01897174,0.0002854396,0.0006027581,0.008579525,0.001021284,0.006557216,0.003576338,0.001266686,0.05975101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620912,"about_ca_system_score_gemma":0.002220128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005689628,"about_ca_topic_score_gemma":0.004328038,"domain_scores_codex":[0.9952149,0.0009534614,0.0002931718,0.0007228571,0.002336564,0.0004789808],"domain_scores_gemma":[0.9907918,0.002412994,0.0005926588,0.001668132,0.003805073,0.0007292841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001713209,0.00006315503,0.003296205,0.0007073841,0.00006541931,0.00009183667,0.0003083526,0.002705169,0.0004567729,0.05077862,0.5716454,0.3697104],"study_design_scores_gemma":[0.00002328151,0.00005546102,0.002953367,0.0006999876,0.00002261267,0.0001033612,0.0006310839,0.006240564,0.001062232,0.02678802,0.9613764,0.00004354605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01496195,0.01621358,0.09913877,0.01024613,0.004216769,0.001209796,0.04526956,0.02859378,0.7801497],"genre_scores_gemma":[0.2534584,0.03434594,0.0834203,0.005529521,0.007699797,0.001487445,0.153761,0.01629767,0.4439999],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09526625,"threshold_uncertainty_score":0.3186974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08486429493873697,"score_gpt":0.2942098498167507,"score_spread":0.2093455548780137,"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."}}