{"id":"W3080486041","doi":"10.1136/gutjnl-2020-321650","title":"Prioritisation by FIT to mitigate the impact of delays in the 2-week wait colorectal cancer referral pathway during the COVID-19 pandemic: a UK modelling study","year":2020,"lang":"en","type":"article","venue":"Gut","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Data Research UK; Public Health England; Royal Marsden NHS Foundation Trust; Breast Cancer Now; Cancer Research UK; Queen's University Belfast; National Institute for Health and Care Research; NIHR Imperial Biomedical Research Centre; Queen's University; Pfizer; Medical Research Council; Movember Foundation","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Referral; Colorectal cancer; Medicine; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Cancer; Emergency medicine; Virology; Internal medicine; Family medicine; Disease; Outbreak; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007417733,0.0001648097,0.0002860164,0.00004826786,0.0002049517,0.00003146636,0.0002377936,0.00006990675,0.00008339174],"category_scores_gemma":[0.0004601511,0.00008116503,0.0001024147,0.0004124234,0.00005104367,0.00005329778,0.00006014854,0.0004347774,0.000008677588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005619429,"about_ca_system_score_gemma":0.000885102,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0244255,"about_ca_topic_score_gemma":0.004520276,"domain_scores_codex":[0.9983718,0.0002512292,0.000374827,0.0002563321,0.0003942162,0.0003515455],"domain_scores_gemma":[0.9988909,0.0003937058,0.000114445,0.0002590528,0.00007097681,0.0002709378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003091314,0.0003349471,0.7219536,0.0003013855,0.0001740591,0.00008532321,0.2058301,0.04554563,0.0161846,0.00002277186,0.003772367,0.002703888],"study_design_scores_gemma":[0.007081812,0.006042022,0.9162347,0.0002468646,0.0001919916,0.0001218761,0.01884818,0.04634482,0.0004880587,0.0002172637,0.003727367,0.0004550604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972281,0.0003859132,0.0001832523,0.02496263,0.00003684862,0.001944653,0.0001065941,0.0000330061,0.00006609327],"genre_scores_gemma":[0.992492,0.00007123225,0.000008534417,0.007028208,0.0001946622,0.0001384385,0.000008180774,0.0000188201,0.00003998295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1942811,"threshold_uncertainty_score":0.9820709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2083221793826337,"score_gpt":0.4239231412223461,"score_spread":0.2156009618397124,"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."}}