{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005944048,0.0001515576,0.0002645169,0.0005352987,0.0007450567,0.0006776588,0.0003299667,0.0005978235,0.001769797],"category_scores_gemma":[0.00270908,0.0001330237,0.0004359413,0.001436652,0.0005099997,0.0007364232,0.0007601054,0.0007601268,0.0001126511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002655503,"about_ca_system_score_gemma":0.003805128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4565966,"about_ca_topic_score_gemma":0.6250658,"domain_scores_codex":[0.999377,0.00006967093,0.00003215582,0.0001107888,0.00008497891,0.0003255413],"domain_scores_gemma":[0.9988748,0.00009498534,0.000514798,0.0000486723,0.0001572348,0.0003095852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001026382,0.00003424476,0.9947142,0.00002415042,0.00003534667,0.00006435611,0.0004341588,0.00008096011,0.0001221355,0.0001492423,0.0007861597,0.003452401],"study_design_scores_gemma":[0.00000380257,0.00001880386,0.9991033,0.00002449248,0.000008640725,0.0000183687,0.0003673102,0.000040686,0.00001611545,0.00003111123,0.0003636145,0.000003759126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993745,0.0006672702,0.00004913786,0.0015111,0.00003659983,0.00002132871,0.002056942,0.000003486059,0.001909185],"genre_scores_gemma":[0.998396,0.0002899042,0.00003735175,0.0002117916,0.00002849547,0.00001323119,0.0007903932,0.000001388494,0.000231477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4565966,"threshold_uncertainty_score":0.9078779,"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."}}