{"id":"W6904927204","doi":"10.14288/hfjc.v14i4","title":"The Health & Fitness Journal of Canada, Vol. 14 No. 4 (2021)","year":2022,"lang":"en","type":"article","venue":"Open Collections","topic":"Sports injuries and prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"MEDLINE; Public health; Selection (genetic algorithm); Government (linguistics); Population","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":[0.0007014755,0.0004138815,0.0004648487,0.001982059,0.004876151,0.004528296,0.0009654699,0.002634382,0.2752614],"category_scores_gemma":[0.003118266,0.0005915141,0.0003740865,0.001649596,0.001057629,0.0005362746,0.001294586,0.002324511,0.0695731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01485141,"about_ca_system_score_gemma":0.05821028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9219643,"about_ca_topic_score_gemma":0.9752355,"domain_scores_codex":[0.9986367,0.00003523623,0.00004722716,0.0000809726,0.0008367463,0.0003631234],"domain_scores_gemma":[0.9931364,0.0003275386,0.0001230491,0.0001238327,0.0039367,0.00235246],"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":[0.00004541471,0.00008279578,0.007708258,0.0001254979,0.000008589589,0.00009164789,0.00008340259,0.0001083278,0.0004132118,0.0008592789,0.9501688,0.04030478],"study_design_scores_gemma":[0.00002544849,0.00003546896,0.08035449,0.0002905953,0.00001155794,0.0000974169,0.000527052,0.0002796029,0.0004716444,0.0003362905,0.9175408,0.00002959275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03057002,0.00853879,0.0005050795,0.05274773,0.01072303,0.0005342837,0.03150881,0.000646397,0.8642258],"genre_scores_gemma":[0.01739207,0.002361795,0.0004369255,0.006025166,0.0004897288,0.00005616452,0.004885666,0.00007766931,0.9682748],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9219643,"threshold_uncertainty_score":0.9208411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537057762033155,"score_gpt":0.2944985764382839,"score_spread":0.2791279988179524,"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."}}