{"id":"W3025323637","doi":"10.1016/j.annonc.2020.05.009","title":"Collateral damage: the impact on outcomes from cancer surgery of the COVID-19 pandemic","year":2020,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":547,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Cancer Research","funders":"Public Health England; Institute of Cancer Research; Cancer Research UK; National Institute for Health and Care Research; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; Royal Marsden NHS Foundation Trust; National Institute on Handicapped Research; Francis Crick Institute; Breast Cancer Now; Movember Foundation","keywords":"Medicine; Pandemic; Cancer; Observational study; Disease; Hazard ratio; Stage (stratigraphy); Surgery; Coronavirus disease 2019 (COVID-19); Internal medicine; Confidence interval; 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":[0.001706527,0.0001959987,0.0003123662,0.0008856024,0.0009907505,0.002094602,0.0005318216,0.0009673656,0.01416318],"category_scores_gemma":[0.01573475,0.0001506789,0.0008398067,0.001592266,0.0008727983,0.001569479,0.003141478,0.002329162,0.0007396159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002421303,"about_ca_system_score_gemma":0.003769734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01822101,"about_ca_topic_score_gemma":0.0304132,"domain_scores_codex":[0.9983023,0.0005607462,0.0001226664,0.0001221385,0.0002835194,0.0006085827],"domain_scores_gemma":[0.9910685,0.001148745,0.003548308,0.0002990293,0.001024794,0.00291054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009054791,0.0002523308,0.8760957,0.0004175124,0.0004438589,0.0006492865,0.0008309975,0.00147453,0.0001785504,0.008760245,0.03294719,0.07704428],"study_design_scores_gemma":[0.00004182791,0.0003585781,0.9647428,0.001139615,0.0001882393,0.0007677576,0.003986876,0.0008904081,0.0001361328,0.006256101,0.02142332,0.00006819996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7974513,0.02357886,0.0005976163,0.1156343,0.001593856,0.00008429247,0.008644008,0.00004504594,0.05237087],"genre_scores_gemma":[0.9885543,0.006186208,0.0001241737,0.002032762,0.0006023558,0.00001573851,0.00127331,0.00001529269,0.001195836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01822101,"threshold_uncertainty_score":0.04738051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4809617151426679,"score_gpt":0.5487580976107833,"score_spread":0.06779638246811537,"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."}}