{"id":"W3214761495","doi":"10.1093/aje/kwab280","title":"Predicting Injury Risk Over Changes in Physical Activity in Children Using the Acute:Chronic Workload Ratio","year":2021,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Canadian Institutes of Health Research; Department of Epidemiology, Biostatistics and Occupational Health, McGill University; TrygFonden; Syddansk Universitet; IMK Almene Fond; McGill University; Nordea-fonden; Egmont Fonden; Jewish General Hospital; Nordisk Institut for Kiropraktik og Klinisk Biomekanik; Gigtforeningen","keywords":"Medicine; Workload; Prospective cohort study; Injury prevention; Physical activity; Poison control; Cohort study; Physical therapy; Internal medicine; Emergency medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002563894,0.000808112,0.0006366067,0.001857342,0.000212043,0.0008901725,0.0007531447,0.0005296865,0.001114526],"category_scores_gemma":[0.009085874,0.0003847492,0.001423431,0.001617218,0.0003238756,0.0008875334,0.001134946,0.0007827683,0.0002941697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004165019,"about_ca_system_score_gemma":0.0005538384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01041274,"about_ca_topic_score_gemma":0.01409814,"domain_scores_codex":[0.9980054,0.0008183459,0.0002440346,0.0003942062,0.0003180584,0.0002200197],"domain_scores_gemma":[0.9948361,0.00145041,0.002759111,0.0003019056,0.000307837,0.0003446026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002737522,0.00001174078,0.9983338,0.0000117014,0.00005615481,0.000009271374,0.00002202603,0.0002644512,0.00003494562,0.00001831391,0.00002655487,0.001183732],"study_design_scores_gemma":[0.000003413155,0.0001015898,0.9975607,0.00001835718,0.0000441646,0.00007302974,0.00009028226,0.001832057,0.00009717469,0.00004516866,0.0001273031,0.000006668322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946945,0.0006923758,0.002906209,0.00008182226,0.00001465401,0.00002440204,0.001202747,0.00002960522,0.0003535543],"genre_scores_gemma":[0.996259,0.0003554771,0.001975372,0.00001462111,0.00001978666,0.00002881983,0.001178252,0.000008042302,0.0001606209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01041274,"threshold_uncertainty_score":0.02070427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02760022568111225,"score_gpt":0.3795362745924399,"score_spread":0.3519360489113276,"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."}}