{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008147439,0.0001969565,0.0002930466,0.001105555,0.0008816759,0.0009329226,0.0007324953,0.0005675989,0.002291845],"category_scores_gemma":[0.004127595,0.0002255477,0.0004222705,0.001861212,0.000478352,0.000675482,0.0008852459,0.0009122555,0.0001743025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005950578,"about_ca_system_score_gemma":0.007513493,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6542554,"about_ca_topic_score_gemma":0.7502581,"domain_scores_codex":[0.9990321,0.0001340123,0.00009442394,0.000181043,0.0002274822,0.000330943],"domain_scores_gemma":[0.9970987,0.0003005764,0.001335437,0.0001130253,0.0005957551,0.0005565168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006896617,0.00001741946,0.9948079,0.00006096008,0.0000420411,0.00008501774,0.0002098038,0.0001490647,0.00007331343,0.00008250038,0.001310583,0.003092587],"study_design_scores_gemma":[0.000005235627,0.00002787959,0.9974101,0.00009852624,0.00001971779,0.00009634454,0.0006728669,0.0001649389,0.00004843875,0.000045731,0.001402741,0.000007439609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667077,0.003900134,0.0004640183,0.002998341,0.0001663154,0.0001290325,0.01918491,0.00003516193,0.006414362],"genre_scores_gemma":[0.9910876,0.001878233,0.0003403095,0.0005511713,0.00008488432,0.00005680025,0.005262388,0.000006208822,0.0007325191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6542554,"threshold_uncertainty_score":0.6955614,"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."}}