{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002895508,0.0006684986,0.001356719,0.0006841629,0.0002115013,0.0002599475,0.001021605,0.0005319974,0.01205906],"category_scores_gemma":[0.00019699,0.0007235674,0.0001358908,0.0001728811,0.0002898887,0.000106819,0.0001965391,0.0007062554,0.002134048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001417755,"about_ca_system_score_gemma":0.0001709496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002893344,"about_ca_topic_score_gemma":0.004121482,"domain_scores_codex":[0.9971159,0.00001173819,0.0009776964,0.0009852414,0.0001810116,0.0007283819],"domain_scores_gemma":[0.9956707,0.00004821276,0.002130003,0.001729478,0.0001166232,0.0003050026],"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":[0.0000098219,0.0001593198,0.002646824,0.0001680307,0.0002210773,0.00006361777,0.00003116078,0.00003538704,2.47667e-7,0.1609995,0.830644,0.005020979],"study_design_scores_gemma":[0.0004527701,0.0001016669,0.0009830347,0.0003391191,0.00006000307,0.000004311491,0.00001268769,0.007520427,5.072356e-7,0.01670663,0.9729294,0.0008894093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003568395,0.009482647,0.06622022,0.000163763,0.001698664,0.0004422109,0.1606093,0.0002283548,0.7611191],"genre_scores_gemma":[0.002106146,0.03738695,0.02861292,0.0002542578,0.0008932255,0.00001775416,0.009431074,0.0006989845,0.9205987],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1594796,"threshold_uncertainty_score":0.9995216,"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."}}