{"id":"W3111955268","doi":"10.1007/s10552-021-01411-7","title":"The hidden curve behind COVID-19 outbreak: the impact of delay in treatment initiation in cancer patients and how to mitigate the additional risk of dying—the head and neck cancer model","year":2021,"lang":"en","type":"article","venue":"Cancer Causes & Control","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Cancer Institute; National Institute for Health and Care Research; Instituto Tecnológico de Aeronáutica; Universidade de São Paulo; World Health Organization","keywords":"Pandemic; Outbreak; Medicine; Cancer; Head and neck cancer; Disease; Intensive care medicine; Health care; Coronavirus disease 2019 (COVID-19); Emergency medicine; Medical emergency; Infectious disease (medical specialty); Internal medicine; Pathology; Economic growth","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":[0.004374702,0.001384971,0.001870258,0.001269849,0.001640718,0.004735798,0.002834502,0.005562993,0.01873188],"category_scores_gemma":[0.0194019,0.0007918767,0.001708078,0.001218582,0.003701664,0.006934825,0.004794284,0.007831695,0.001787335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005240987,"about_ca_system_score_gemma":0.008030194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07758382,"about_ca_topic_score_gemma":0.05266628,"domain_scores_codex":[0.9975923,0.001067179,0.0000592364,0.000385714,0.0001983339,0.0006972759],"domain_scores_gemma":[0.9932315,0.003370314,0.001038053,0.0003051451,0.0005326002,0.001522349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001945548,0.0012679,0.08025087,0.001037487,0.0008302084,0.002233868,0.003427662,0.1834007,0.0008130318,0.5830972,0.07666225,0.06503328],"study_design_scores_gemma":[0.00067908,0.001040709,0.01676438,0.001246377,0.0005880604,0.0009016473,0.005466387,0.3737678,0.0003059556,0.5679641,0.0309354,0.0003400439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3576032,0.01505004,0.06586736,0.426592,0.005289429,0.0008563087,0.01002982,0.0006037446,0.1181081],"genre_scores_gemma":[0.9664579,0.006214375,0.002942267,0.006729798,0.001154526,0.0001754753,0.0006833505,0.00007689006,0.01556538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07758382,"threshold_uncertainty_score":0.1542645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0602197057948917,"score_gpt":0.3971465360069149,"score_spread":0.3369268302120232,"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."}}