{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005306499,0.0001706421,0.001188787,0.0001833473,0.00007730296,0.000002743619,0.0001298615,0.000124858,0.00004775554],"category_scores_gemma":[0.004940179,0.0001162603,0.0002269188,0.0005071433,0.0004393577,0.000107146,0.00006856406,0.001527779,0.0000020279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002645724,"about_ca_system_score_gemma":0.0003303803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005699506,"about_ca_topic_score_gemma":0.0002643411,"domain_scores_codex":[0.9931877,0.005356395,0.0006550302,0.0002585679,0.00009791325,0.0004444173],"domain_scores_gemma":[0.9950753,0.003215078,0.001275675,0.0002639067,0.00007935346,0.00009064258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005347139,0.0001404302,0.9373483,0.000005112588,0.0002463638,0.00004073745,0.0001861345,0.0005538044,0.003453632,0.00006932086,0.00008890546,0.05733252],"study_design_scores_gemma":[0.0007441965,0.001056863,0.9888082,0.0002246174,0.0002436238,0.0007372664,0.0001257345,0.005974195,0.0007671149,0.001156555,0.00006204987,0.00009956577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919405,0.001114533,0.002263278,0.004275066,0.0002046287,0.0001580146,0.000009375766,0.00000647043,0.00002813908],"genre_scores_gemma":[0.9947613,0.001745731,0.001287176,0.001275318,0.0008920278,0.000005549373,0.000004865739,0.00001334018,0.00001471104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05723296,"threshold_uncertainty_score":0.6637524,"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."}}