{"id":"W3197269561","doi":"10.3390/ijerph18179098","title":"Delayed Colorectal Cancer Diagnosis during the COVID-19 Pandemic in Alberta: A Framework for Analyzing Barriers to Diagnosis and Generating Evidence to Support Health System Changes Aimed at Reducing Time to Diagnosis","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health; University of Calgary; University of Alberta; Alberta Health Services","funders":"","keywords":"Medicine; Medical diagnosis; Pandemic; Colonoscopy; Colorectal cancer; Confidence interval; Poisson regression; Retrospective cohort study; Relative risk; Disease; Emergency medicine; Pediatrics; Cancer; Coronavirus disease 2019 (COVID-19); Internal medicine; Radiology; Infectious disease (medical specialty); Environmental health; Population","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01392728,0.001463011,0.0008474789,0.006839012,0.001290911,0.002923936,0.003172811,0.00130971,0.001891888],"category_scores_gemma":[0.02185523,0.0007465563,0.002305443,0.004957103,0.002484785,0.001147353,0.004135947,0.001518525,0.0001022387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0356172,"about_ca_system_score_gemma":0.03230472,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8877061,"about_ca_topic_score_gemma":0.85985,"domain_scores_codex":[0.9933269,0.004179536,0.0002882945,0.0008073163,0.0005884017,0.0008094514],"domain_scores_gemma":[0.9903412,0.00563217,0.002083829,0.0002896127,0.0009856371,0.0006674848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003595059,0.0002329163,0.7784158,0.001076141,0.001977151,0.0006377388,0.00351005,0.1480126,0.0003163094,0.02758982,0.004497852,0.03337411],"study_design_scores_gemma":[0.0001395042,0.0004341018,0.6157308,0.00129061,0.00176711,0.0002438011,0.01189637,0.3347801,0.0003002388,0.02170441,0.01150729,0.0002057386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8693736,0.02031333,0.05827644,0.02165142,0.0002972229,0.001839673,0.01322046,0.0003329676,0.01469486],"genre_scores_gemma":[0.9696403,0.002489842,0.02318117,0.0005446447,0.00006171135,0.0004208768,0.002523801,0.0000221907,0.001115576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1122939,"threshold_uncertainty_score":0.2584221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1479815722717107,"score_gpt":0.469195148615754,"score_spread":0.3212135763440432,"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."}}