{"id":"W4205125521","doi":"10.1302/3114-220775","title":"The Acute Impact of the COVID-19 Pandemic on Patients Presenting with Orthopaedic Injuries Across a Canadian Academic, Orthopaedic Trauma System: A Multi-Centre, Pre-Post Observational Cohort Study","year":2022,"lang":"en","type":"dataset","venue":"OrthoMedia","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Observational study; Medicine; Pandemic; Orthopedic surgery; Emergency medicine; Cohort; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Cohort study; Medical emergency; Emergency department; Surgery; Internal medicine; Virology; Nursing","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":[0.001538136,0.001329455,0.001244636,0.003478677,0.002509393,0.002281052,0.004378331,0.00192362,0.00773727],"category_scores_gemma":[0.009068962,0.001013132,0.002067918,0.009803302,0.0006382233,0.0009273156,0.002878374,0.002842351,0.002700032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01926946,"about_ca_system_score_gemma":0.04109045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9690242,"about_ca_topic_score_gemma":0.976257,"domain_scores_codex":[0.9977214,0.0001475999,0.0003098394,0.0004346028,0.0006600861,0.0007264424],"domain_scores_gemma":[0.9931588,0.0004553412,0.001240268,0.0005123194,0.003322768,0.001310606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008890187,0.0002809429,0.7070974,0.001194581,0.001425441,0.0003299536,0.0008257031,0.0009782768,0.0001832359,0.00102434,0.2790894,0.006681673],"study_design_scores_gemma":[0.0002853761,0.00006274982,0.9725504,0.0007500077,0.0003504667,0.0002156193,0.001153248,0.0007907724,0.00007213339,0.0002193673,0.0234373,0.0001125648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.07362039,0.0008881952,0.0002442595,0.0007284534,0.00007018095,0.0002281644,0.9218026,0.00008514676,0.002332469],"genre_scores_gemma":[0.2254762,0.001466538,0.001411768,0.00120583,0.00007722482,0.001263264,0.7656294,0.00007991369,0.003389815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03097582,"threshold_uncertainty_score":0.1398104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06669575576330214,"score_gpt":0.3951765400585969,"score_spread":0.3284807842952948,"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."}}