{"id":"W4386438090","doi":"10.1001/jamanetworkopen.2023.32363","title":"New Cancer Diagnoses Before and During the COVID-19 Pandemic","year":2023,"lang":"en","type":"article","venue":"JAMA Network Open","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; CancerCare Manitoba","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Incidence (geometry); Cancer; Pandemic; Cancer registry; Colorectal cancer; Medical diagnosis; Population; Lung cancer; Breast cancer; Internal medicine; Coronavirus disease 2019 (COVID-19); Disease; Pathology; Environmental health","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":[0.0007548864,0.0001361594,0.00027831,0.00004654872,0.000382858,0.0001475107,0.0002529591,0.0001104534,0.0004004982],"category_scores_gemma":[0.000664057,0.00008774602,0.00004123579,0.000528,0.00004700942,0.0001407043,0.0004195191,0.0003029633,0.00005111239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002430299,"about_ca_system_score_gemma":0.001113029,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.017132,"about_ca_topic_score_gemma":0.02019604,"domain_scores_codex":[0.9987659,0.00008355605,0.0002073287,0.0002725512,0.0001959205,0.0004747302],"domain_scores_gemma":[0.9983181,0.0006113186,0.0000756347,0.0003323134,0.00003069975,0.0006319841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002212099,0.00000466497,0.7930261,0.0001606841,0.00003924563,0.00007640134,0.00124224,0.0002381442,0.000007842872,0.000102865,0.1678219,0.03705874],"study_design_scores_gemma":[0.001375869,0.0000695472,0.7197282,0.000205178,0.00003437144,0.00005006278,0.0001226551,0.00009495189,0.000002641367,0.0006860463,0.277556,0.00007444314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.82139,0.002292904,0.00002234619,0.1741585,0.00028836,0.001144314,0.00001459137,0.0001632334,0.0005257491],"genre_scores_gemma":[0.9355058,0.006164158,0.00005932108,0.04580261,0.00283969,0.0001256401,0.00002057393,0.0000340745,0.009448153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1283559,"threshold_uncertainty_score":0.9976828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104742263724093,"score_gpt":0.4355932595581198,"score_spread":0.3308509958340269,"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."}}