{"id":"W4387061595","doi":"10.1249/01.mss.0000985288.07748.3d","title":"Impact Of Covid-19 Pandemic On Injury And Illness In Canada Games Competition","year":2023,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Sports injuries and prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Medicine; Incidence (geometry); Pandemic; Athletes; Odds ratio; Coronavirus disease 2019 (COVID-19); Respiratory illness; Odds; Physical therapy; Internal medicine; Emergency medicine; Logistic regression; Respiratory system; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004762423,0.0003109163,0.0002130189,0.0009170037,0.001097356,0.0007880146,0.0005285421,0.000331272,0.003006277],"category_scores_gemma":[0.001715166,0.0001679508,0.000399,0.001442584,0.0005293099,0.0003456552,0.00109462,0.0007374915,0.0001556611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009656576,"about_ca_system_score_gemma":0.01349745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9370463,"about_ca_topic_score_gemma":0.9632437,"domain_scores_codex":[0.9991729,0.00004716419,0.00003517851,0.00007737844,0.0002691573,0.0003981906],"domain_scores_gemma":[0.9988507,0.00004654327,0.0002819856,0.00002081079,0.0003522536,0.0004477568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001482485,0.00003194778,0.9924868,0.00006355955,0.0000467842,0.0001307242,0.0002023082,0.0001718342,0.0001731827,0.00007829039,0.001922099,0.004544143],"study_design_scores_gemma":[0.000002026394,0.00002473937,0.9985488,0.00004021222,0.000007014376,0.00005246828,0.0006044466,0.0001612261,0.00002872837,0.0000128666,0.0005119946,0.000005432285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831111,0.0007563888,0.0001555363,0.0007171993,0.00004024365,0.00008828801,0.009887455,0.0000146338,0.005229206],"genre_scores_gemma":[0.9947057,0.0004900214,0.0001508006,0.0001641004,0.00001337616,0.00002425096,0.003935133,0.000004109863,0.0005124054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06295371,"threshold_uncertainty_score":0.1266488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027342103062077,"score_gpt":0.3364829832989238,"score_spread":0.316209562268303,"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."}}