{"id":"W7075711598","doi":"","title":"Factors influencing visor use among players in the National Hockey League (NHL)","year":2014,"lang":"en","type":"article","venue":"","topic":"High-pressure geophysics and materials","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"League; Confidence interval; Quarter (Canadian coin)","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":[0.0003787911,0.0002292425,0.0001671001,0.0006655973,0.0004255401,0.0006706627,0.0003687736,0.0003639965,0.003053517],"category_scores_gemma":[0.001151452,0.0002035009,0.0002188482,0.0004960064,0.0002255507,0.0004209582,0.000414909,0.0003604206,0.0004573926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003193053,"about_ca_system_score_gemma":0.0003382233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03327366,"about_ca_topic_score_gemma":0.06677011,"domain_scores_codex":[0.9997031,0.00005641501,0.00002940843,0.00005113994,0.00007738525,0.00008250416],"domain_scores_gemma":[0.9992778,0.00009097788,0.0003463403,0.00001944555,0.0001042153,0.000161319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002542685,0.00007590758,0.9986167,0.000008992932,0.00001731061,0.00002520257,0.0001369667,0.00001295274,0.0001197909,0.000006273745,0.00009175135,0.0008626771],"study_design_scores_gemma":[0.000001255284,0.00006555962,0.9988093,0.0000105725,0.000006557472,0.00005857658,0.0008290608,0.00006758661,0.00003227584,0.00000497162,0.0001123239,0.000001945866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992422,0.00005355509,0.00002963491,0.00002272651,0.000002842129,0.000008496181,0.0001428439,0.000001092875,0.0004966607],"genre_scores_gemma":[0.9991686,0.00006907414,0.00005414375,0.00001754605,0.000003610824,0.00000836848,0.0001965155,0.000001067678,0.0004812035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03327366,"threshold_uncertainty_score":0.06615996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03116916143740261,"score_gpt":0.2207008312582437,"score_spread":0.1895316698208411,"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."}}