{"id":"W4308937667","doi":"10.6004/jnccn.2022.7075","title":"Incident Cancer Detection During Multiple Waves of COVID-19: The Tsunami After the Earthquake","year":2022,"lang":"en","type":"article","venue":"Journal of the National Comprehensive Cancer Network","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Princess Margaret Cancer Centre; Health Sciences Centre; Sunnybrook Health Science Centre; Women's College Hospital; Cancer Care Ontario; Queen's University; Institute of Health Services and Policy Research; Ontario Institute for Cancer Research; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Clearance; Pandemic; Incidence (geometry); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Cancer; Population; Seismology; Virology; Internal medicine; Environmental health; Geology; Optics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005906161,0.0001366005,0.0002813885,0.00009233746,0.0008232584,0.00001863529,0.000302494,0.00004166835,0.0003602822],"category_scores_gemma":[0.0006042456,0.00007109373,0.0002865587,0.0005254699,0.0001349684,0.00006818072,0.0002012342,0.0008126965,7.131773e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152641,"about_ca_system_score_gemma":0.001800846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006677413,"about_ca_topic_score_gemma":0.001150669,"domain_scores_codex":[0.9973894,0.0004133504,0.0005343925,0.0001295684,0.001295448,0.0002378288],"domain_scores_gemma":[0.9967222,0.001069679,0.0007953209,0.0001811978,0.001078886,0.0001527812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.006754586,0.0001034153,0.1013767,0.0003035516,0.0006447388,0.00003416487,0.003291606,0.8633881,0.003852194,0.00007979014,0.01673085,0.00344022],"study_design_scores_gemma":[0.001533183,0.0001673918,0.8973655,0.0001692843,0.0001466977,0.0003200557,0.0005758163,0.001776913,0.0003408082,0.0008853175,0.09662735,0.00009170465],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9197933,0.01211259,0.00006142038,0.0656612,0.001793673,0.000496576,0.00005184369,0.000007983699,0.00002140708],"genre_scores_gemma":[0.970926,0.0006637807,0.00001562812,0.02594436,0.002177971,0.00008075956,9.889592e-7,0.0000170341,0.0001735139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8616112,"threshold_uncertainty_score":0.6331921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06427195668621836,"score_gpt":0.3753559327508688,"score_spread":0.3110839760646504,"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."}}