{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001921715,0.001008985,0.001011177,0.0007965189,0.0004898169,0.001554059,0.001711564,0.002260068,0.005450404],"category_scores_gemma":[0.00897314,0.0006954919,0.0021761,0.000933465,0.0008953942,0.001256383,0.001477343,0.001623754,0.0003796148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005406315,"about_ca_system_score_gemma":0.002958899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2013257,"about_ca_topic_score_gemma":0.1290866,"domain_scores_codex":[0.9986545,0.0007475871,0.00005640143,0.0001657197,0.00005788406,0.0003178933],"domain_scores_gemma":[0.9929318,0.004673676,0.001029141,0.0002146281,0.0006421594,0.0005084907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004601972,0.0001698004,0.0198205,0.0001779325,0.0002095402,0.0004131953,0.0002985484,0.9711843,0.0002990604,0.002768567,0.001593668,0.002604739],"study_design_scores_gemma":[0.000432626,0.0007240712,0.01440015,0.0001361203,0.0002335582,0.0001377339,0.0009653463,0.9774674,0.0002023685,0.002774236,0.00245162,0.00007473618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694802,0.00089886,0.01313616,0.002014306,0.00009685669,0.0002400276,0.004056693,0.00009495923,0.009982044],"genre_scores_gemma":[0.9922673,0.000309196,0.003251313,0.0001632945,0.0000196852,0.0001422937,0.0008098675,0.00002382627,0.0030132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2013257,"threshold_uncertainty_score":0.4003077,"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."}}