{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002049281,0.0003778095,0.0006235113,0.001040232,0.00128741,0.00159561,0.001179604,0.0005813052,0.002062711],"category_scores_gemma":[0.009617302,0.000336793,0.0009973248,0.003154561,0.0005384787,0.001022053,0.001825174,0.001175296,0.0002730021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006396331,"about_ca_system_score_gemma":0.00871957,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6595332,"about_ca_topic_score_gemma":0.8044346,"domain_scores_codex":[0.997486,0.0003635487,0.0002360482,0.000332166,0.0006676534,0.0009145944],"domain_scores_gemma":[0.9944253,0.000665853,0.001986433,0.000410776,0.001832891,0.0006786226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002074247,0.00002852521,0.9912801,0.0001214273,0.0002021087,0.00005388134,0.0004952759,0.0002508655,0.00006605275,0.0001362454,0.002430732,0.004727288],"study_design_scores_gemma":[0.00001564456,0.000062853,0.9948847,0.0001107423,0.0001616439,0.0000453274,0.0007380427,0.0002768596,0.000088837,0.00006722243,0.003529435,0.0000187633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712816,0.001612992,0.001052505,0.001357294,0.0001396731,0.0001813798,0.0191332,0.00002611664,0.005215248],"genre_scores_gemma":[0.9865422,0.000989815,0.0006093917,0.0006285221,0.0001567999,0.0001664783,0.009703685,0.00002692122,0.001176211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6595332,"threshold_uncertainty_score":0.6849437,"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."}}