{"id":"W4293771305","doi":"10.3390/tomography8050182","title":"Impact of COVID-19 and Socioeconomic Factors on Delays in High-Risk MRI Breast Cancer Screening","year":2022,"lang":"en","type":"article","venue":"Tomography","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; McMaster University","funders":"","keywords":"Socioeconomic status; Medicine; Coronavirus disease 2019 (COVID-19); Pandemic; Breast cancer; Demography; Cancer; Internal medicine; Environmental health; Disease; Population; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0008373126,0.0001476987,0.0001583676,0.0005368649,0.0003213453,0.0004678225,0.0002550149,0.0001900462,0.003452345],"category_scores_gemma":[0.009264362,0.0001144347,0.0003676104,0.0006848942,0.0001777709,0.0004371541,0.0006518812,0.0004955312,0.000167102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001091796,"about_ca_system_score_gemma":0.001358298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01993242,"about_ca_topic_score_gemma":0.03113368,"domain_scores_codex":[0.9992793,0.0001792103,0.00009456745,0.00007360482,0.0001277131,0.000245655],"domain_scores_gemma":[0.9936737,0.001651106,0.003409423,0.0001281656,0.0004630052,0.0006746516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001219107,0.00003394807,0.9955369,0.00003143908,0.0000359209,0.0001074602,0.0001302867,0.0001377408,0.00005815399,0.00006879237,0.0001805613,0.003556924],"study_design_scores_gemma":[0.000003464198,0.00008163077,0.9982573,0.0000279219,0.0000193962,0.0001424964,0.0005799935,0.0002349616,0.0000629465,0.00004095854,0.0005440798,0.000004774077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966604,0.000550612,0.0001161046,0.0003568935,0.00001682443,0.00001517672,0.0006012247,0.00000243944,0.001680359],"genre_scores_gemma":[0.9993988,0.000174938,0.00005854568,0.00003107798,0.000008887178,0.000007267331,0.0001837338,0.000001097479,0.0001355347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01993242,"threshold_uncertainty_score":0.0396328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03172113247983303,"score_gpt":0.361382516550711,"score_spread":0.329661384070878,"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."}}