{"id":"W4210617548","doi":"10.6004/jnccn.2021.7114","title":"Incident Cancer Detection During the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"Journal of the National Comprehensive Cancer Network","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Manitoba; Princess Margaret Cancer Centre; Women's College Hospital; Cancer Care Ontario; Institute of Health Services and Policy Research; Queen's University; University of Toronto; Associated Medical Services; Ontario Institute for Cancer Research; North Pacific Marine Science Organization; Manitoba Health","funders":"","keywords":"Medicine; Incidence (geometry); Cancer; Pandemic; Population; Cervical cancer; Rate ratio; Lung cancer; Cohort; Demography; Coronavirus disease 2019 (COVID-19); Internal medicine; Environmental health; Disease","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005348592,0.0001241217,0.0002540289,0.0001042104,0.001090815,0.00001990441,0.0002741583,0.00004256357,0.0004524219],"category_scores_gemma":[0.0004033166,0.00007535519,0.0002311339,0.0005700822,0.00006813819,0.00006771697,0.0001773342,0.0009916612,0.000001196919],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005354732,"about_ca_system_score_gemma":0.002631308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005343758,"about_ca_topic_score_gemma":0.000499851,"domain_scores_codex":[0.9975891,0.0003068728,0.0004447282,0.0001312736,0.001282353,0.0002457475],"domain_scores_gemma":[0.9974738,0.000570591,0.0006850496,0.0001256477,0.0009358185,0.0002090301],"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":[0.002121121,0.00005116685,0.2137043,0.0001623298,0.0003747233,0.00002776292,0.0009373274,0.7226356,0.004607138,0.00006040679,0.05289698,0.002421201],"study_design_scores_gemma":[0.001740064,0.0001518094,0.585253,0.00009697748,0.0001290542,0.001402948,0.0002321639,0.0006509469,0.00008802926,0.001053256,0.4090982,0.0001035717],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9181337,0.01513164,0.0001083678,0.06251595,0.003523456,0.0004782491,0.00003684293,0.0000210657,0.0000506867],"genre_scores_gemma":[0.9343784,0.001082224,0.00001169321,0.06044416,0.003679709,0.00005270768,9.664913e-7,0.00001593621,0.0003342141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7219846,"threshold_uncertainty_score":0.9984635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1385814572456957,"score_gpt":0.4264038682847975,"score_spread":0.2878224110391018,"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."}}