{"id":"W4390191499","doi":"10.1016/j.pmedr.2023.102578","title":"COVID-19 pandemic impact on the potential exacerbation of screening mammography disparities: A population-based study in Ontario, Canada","year":2023,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Cancer Care Ontario; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences; Public Health Ontario; University of Toronto","funders":"Institut canadien d'information sur la santé; Ontario Ministry of Health and Long-Term Care; Ministry of Health -Singapore; Sunnybrook Foundation; Institute for Clinical Evaluative Sciences; Canadian Institutes of Health Research; Sunnybrook Research Institute","keywords":"Medicine; Pandemic; Demography; Population; Mammography; Rurality; Breast cancer screening; Coronavirus disease 2019 (COVID-19); Environmental health; Breast cancer; Rural area; Cancer; Internal medicine; Infectious disease (medical specialty)","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":[0.002218953,0.0002350913,0.0005980317,0.0005672511,0.0001336571,0.000006795705,0.00007484764,0.00006845185,0.0004571131],"category_scores_gemma":[0.002932439,0.0001482012,0.0001374055,0.0008989403,0.00005924362,0.00005010209,0.00003216811,0.0004144954,4.141798e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001834097,"about_ca_system_score_gemma":0.005725477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993115,"about_ca_topic_score_gemma":0.9837633,"domain_scores_codex":[0.9969394,0.0002870428,0.000910398,0.000394035,0.001093486,0.0003756612],"domain_scores_gemma":[0.9975695,0.0008638449,0.0005182255,0.0004857465,0.0001355904,0.0004270732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003674449,0.0001486868,0.9929969,0.0001725883,0.0001069083,0.0009763188,0.00106179,0.001989389,0.00004560388,0.000005611997,0.001500988,0.0006277581],"study_design_scores_gemma":[0.001578133,0.0008463517,0.9944661,0.0005609594,0.0001457424,0.00005227923,0.001357331,0.0004351937,0.000007178848,0.0002570806,0.0001783275,0.0001153185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912844,0.00008230558,0.0003905096,0.005828307,0.0002563324,0.002009267,0.000009941095,0.0000613318,0.00007763541],"genre_scores_gemma":[0.9978467,0.000008045393,0.000008179617,0.001417899,0.00009051515,0.00009039284,0.0002414729,0.00002236894,0.0002744139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009351669,"threshold_uncertainty_score":0.9999111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07213149171112457,"score_gpt":0.384365056105002,"score_spread":0.3122335643938775,"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."}}