{"id":"W7162560133","doi":"10.14288/hfjc.v18i4","title":"The Health & Fitness Journal of Canada, Vol. 18 No. 4 (2025)","year":2025,"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":[0.000617368,0.0003248642,0.0003346711,0.001533721,0.003616967,0.003627336,0.0007763499,0.002344779,0.2726161],"category_scores_gemma":[0.002485139,0.0004361386,0.0003648493,0.001274174,0.000919877,0.0005094726,0.001133959,0.001838585,0.06127109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01248854,"about_ca_system_score_gemma":0.04819794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9167531,"about_ca_topic_score_gemma":0.976114,"domain_scores_codex":[0.9989008,0.0000262632,0.00004469073,0.00006499876,0.0006711237,0.0002921208],"domain_scores_gemma":[0.9959759,0.0001660521,0.00007722581,0.00008053236,0.002161097,0.001539201],"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":[0.00004762236,0.00008435186,0.008481682,0.0001093681,0.00000937157,0.00009999107,0.00008273644,0.00008618495,0.0004397975,0.001003173,0.9444035,0.04515227],"study_design_scores_gemma":[0.00002323179,0.00003722381,0.08124388,0.0002869128,0.00001232481,0.00008856304,0.0005392369,0.0002936719,0.0004258896,0.00032413,0.9166998,0.00002511783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0310881,0.007668544,0.0006122245,0.04144035,0.01098329,0.000458359,0.02551312,0.00066037,0.8815757],"genre_scores_gemma":[0.02346691,0.001809712,0.0005505852,0.007206745,0.0004631887,0.00003912354,0.003960331,0.00006558467,0.9624378],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2726161,"threshold_uncertainty_score":0.9119919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01919429706447893,"score_gpt":0.3329398556921312,"score_spread":0.3137455586276522,"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."}}