{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001278123,0.0005393316,0.0006230877,0.0008688531,0.00368745,0.001240691,0.0017583,0.0008228936,0.002112293],"category_scores_gemma":[0.002660571,0.0006297205,0.00136292,0.002810197,0.001246877,0.0006481462,0.001207219,0.001406467,0.0001989068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04649318,"about_ca_system_score_gemma":0.06068485,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972053,"about_ca_topic_score_gemma":0.9982271,"domain_scores_codex":[0.9986946,0.0001329994,0.00007577608,0.0002084338,0.0002930649,0.0005951968],"domain_scores_gemma":[0.9976783,0.0001692713,0.0005880416,0.0001144686,0.0007202792,0.0007297342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001330359,0.00008525311,0.9928006,0.00006599597,0.0001096325,0.0001090356,0.001918226,0.0001646934,0.0001663856,0.0001628689,0.001592843,0.002691431],"study_design_scores_gemma":[0.00002134919,0.00004712205,0.9957244,0.00005899127,0.00005348562,0.00003868957,0.002512086,0.0005807271,0.00003753646,0.00003954814,0.00086224,0.00002381082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923923,0.0005575367,0.0001970959,0.0008538543,0.00002280263,0.0001208237,0.003943268,0.00001119783,0.001901126],"genre_scores_gemma":[0.9970578,0.0003766062,0.0002294752,0.0003281696,0.00001263795,0.00004881472,0.001112743,0.000006947092,0.0008268228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04649318,"threshold_uncertainty_score":0.3373332,"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."}}