{"id":"W4401877812","doi":"10.1093/bjsopen/zrae088","title":"Disparities in surgery rates during the COVID-19 pandemic: retrospective study","year":2024,"lang":"en","type":"article","venue":"BJS Open","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston Health Sciences Centre; Cancer Care Ontario; Queen's University; Institute for Clinical Evaluative Sciences; University Health Network; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; International Council for the Exploration of the Sea; Ontario Ministry of Health and Long-Term Care; Ministry of Health, Ontario","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Retrospective cohort study; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Virology; Surgery; Internal medicine; Disease; Outbreak; Infectious disease (medical specialty)","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":[0.001097727,0.0002698576,0.0004408106,0.001271887,0.0009729216,0.001104255,0.0006736308,0.0007595221,0.003117125],"category_scores_gemma":[0.004329031,0.0004531507,0.001068196,0.003035815,0.0005502042,0.001268706,0.001732799,0.001210044,0.0003710567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129946,"about_ca_system_score_gemma":0.001776508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03371628,"about_ca_topic_score_gemma":0.04524124,"domain_scores_codex":[0.998086,0.0002961992,0.0002895561,0.0004551787,0.0002384376,0.000634585],"domain_scores_gemma":[0.9971641,0.0002694058,0.001466092,0.0002740793,0.0003362907,0.0004901248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006191754,0.00004916712,0.9984552,0.00002309605,0.00007033944,0.00002627954,0.0001740106,0.00002515686,0.00004091387,0.0001023396,0.0004121063,0.000559578],"study_design_scores_gemma":[0.00000536063,0.00007053,0.9969146,0.000043882,0.0000462259,0.0001477288,0.001783633,0.0001143059,0.00003715844,0.00007500895,0.0007492855,0.00001218109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933833,0.0005394678,0.0001884742,0.0002054515,0.00003208845,0.0000347221,0.004103259,0.000004923349,0.001508376],"genre_scores_gemma":[0.9970878,0.0002049242,0.0001069769,0.0001463543,0.00002548892,0.00003831181,0.002181864,0.000006179209,0.0002021386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03371628,"threshold_uncertainty_score":0.06704009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1973776410854461,"score_gpt":0.480847277149975,"score_spread":0.2834696360645289,"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."}}