{"id":"W2752050761","doi":"10.1371/journal.pone.0184346","title":"Investigating the multivariate nature of NHL player performance with structural equation modeling","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Possession (linguistics); Univariate; Structural equation modeling; Multivariate statistics; Context (archaeology); Multivariate analysis; Psychology; Computer science; Statistics; Biology; Mathematics","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":[0.01275985,0.0008122231,0.0008492995,0.002096556,0.0006480684,0.002402819,0.001048898,0.0006280668,0.00409607],"category_scores_gemma":[0.03159093,0.0003151763,0.001404538,0.003551329,0.001402475,0.002030503,0.001891604,0.00238315,0.0003853508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171663,"about_ca_system_score_gemma":0.001559805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0145281,"about_ca_topic_score_gemma":0.014531,"domain_scores_codex":[0.9948635,0.003127048,0.0002889922,0.0007400621,0.0006517063,0.0003287709],"domain_scores_gemma":[0.9658202,0.02607499,0.004534917,0.00185073,0.001176771,0.0005423298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001491755,0.000474823,0.9310092,0.0001104079,0.0008973027,0.0001506319,0.003026882,0.02468492,0.0005234837,0.01556048,0.0009980918,0.02241461],"study_design_scores_gemma":[0.00004499354,0.0006303506,0.6911342,0.0001349365,0.0003703947,0.0001023444,0.004141605,0.2730351,0.0006382141,0.02731316,0.002360797,0.00009402112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960818,0.0001157483,0.03550461,0.0005855685,0.0000268696,0.0001489733,0.0007793208,0.00008698878,0.001933811],"genre_scores_gemma":[0.9942232,0.00004522116,0.004656207,0.0000255445,0.00001130952,0.00009017434,0.0006864801,0.00001151951,0.0002504095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0145281,"threshold_uncertainty_score":0.06748134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1151351801271886,"score_gpt":0.2350556473267074,"score_spread":0.1199204671995188,"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."}}