{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001516285,0.0001322399,0.0003750365,0.000158802,0.0001631105,0.0002262367,0.0001934567,0.00005683684,0.0002035207],"category_scores_gemma":[0.001716413,0.00008444274,0.00006089025,0.0004343615,0.00005634691,0.0001944532,0.000231568,0.0003706784,0.00004227459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008062148,"about_ca_system_score_gemma":0.001214193,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02837913,"about_ca_topic_score_gemma":0.01365565,"domain_scores_codex":[0.9986851,0.0001583043,0.0002877729,0.0003243774,0.0002341669,0.0003102419],"domain_scores_gemma":[0.998476,0.0009124864,0.00003477934,0.0003311816,0.00003635466,0.0002091667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002305467,0.0000967192,0.9905477,0.0003756009,0.00004736409,0.000443963,0.003030198,0.00000256819,0.00004758672,0.000155379,0.00449208,0.0005303642],"study_design_scores_gemma":[0.0006407246,0.0001034899,0.9867692,0.0002013814,0.00002782728,0.00007362124,0.00163303,0.00002104145,0.00002458327,0.0005731948,0.009829057,0.0001028358],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710649,0.001257867,0.000006017392,0.024937,0.0002556786,0.001679115,0.00001834281,0.0001048536,0.0006762454],"genre_scores_gemma":[0.99204,0.0002679281,0.000003964739,0.004677105,0.0001958316,0.0001484379,0.000006972405,0.00002338654,0.002636401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02097509,"threshold_uncertainty_score":0.978091,"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."}}