{"id":"W4388835016","doi":"10.1001/jamanetworkopen.2023.43796","title":"Cancer Screening Disparities Before and After the COVID-19 Pandemic","year":2023,"lang":"en","type":"article","venue":"JAMA Network Open","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Queen's University; Women's College Hospital; University of Toronto; St. Michael's Hospital","funders":"Health Canada; Canadian Institutes of Health Research; Canadian Medical Association; Ontario Medical Association; Institute for Clinical Evaluative Sciences; Pfizer","keywords":"Medicine; Population; Cancer screening; Sigmoidoscopy; Pandemic; Cohort; Colonoscopy; Demography; Breast cancer screening; Cancer; Breast cancer; Colorectal cancer; Mammography; Internal medicine; Coronavirus disease 2019 (COVID-19); Environmental health; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001181743,0.0001379282,0.000278033,0.00004547693,0.0003429987,0.0001944376,0.0002084547,0.0001162053,0.0002538502],"category_scores_gemma":[0.0003567391,0.00008762987,0.00004438962,0.0004037889,0.0001092485,0.0001656146,0.0004459242,0.0003394683,0.00002434146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001271542,"about_ca_system_score_gemma":0.0004613215,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009624042,"about_ca_topic_score_gemma":0.01808537,"domain_scores_codex":[0.9987279,0.0001078793,0.0002075565,0.0002572495,0.0002102807,0.0004891029],"domain_scores_gemma":[0.9987013,0.0004713837,0.00006308198,0.0003077716,0.00004161116,0.0004148897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006865528,0.000004438982,0.8814989,0.0001480499,0.00004849198,0.00006228065,0.001169647,0.000165808,0.000001037668,0.00015427,0.08341135,0.03264915],"study_design_scores_gemma":[0.0008888827,0.00007305595,0.7558247,0.0002680654,0.00004622189,0.00004221441,0.0002013098,0.0007253335,2.70838e-7,0.0008305875,0.2410175,0.00008182612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7029802,0.002944846,0.0001531636,0.2915988,0.0002643987,0.00126294,0.0000444533,0.000167706,0.000583572],"genre_scores_gemma":[0.8964903,0.001762091,0.00008669872,0.09631444,0.001323139,0.000264227,0.00003172924,0.00002710292,0.003700286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1952843,"threshold_uncertainty_score":0.999832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1218947950251655,"score_gpt":0.4301084175472,"score_spread":0.3082136225220344,"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."}}