{"id":"W4388768759","doi":"10.1002/cam4.6698","title":"Cancer incidence during the COVID‐19 pandemic by region of residence in Manitoba, Canada: A cancer registry‐based interrupted time series study","year":2023,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; CancerCare Manitoba","funders":"Canadian Institutes of Health Research; CancerCare Manitoba Foundation; Research Manitoba","keywords":"Incidence (geometry); Demography; Medicine; Pandemic; Cancer registry; Population; Cancer; Context (archaeology); Residence; Breast cancer; Prostate cancer; Lung cancer; Coronavirus disease 2019 (COVID-19); Geography; Environmental health; Oncology; Internal medicine; Disease","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":[0.00170613,0.0005336753,0.0006126693,0.0021958,0.001716748,0.00139329,0.002307466,0.0005129075,0.001370177],"category_scores_gemma":[0.004017079,0.0005694928,0.0007968814,0.0080241,0.0009094662,0.0004417201,0.001090144,0.0008950432,0.0002423992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02916688,"about_ca_system_score_gemma":0.0406829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936529,"about_ca_topic_score_gemma":0.9912233,"domain_scores_codex":[0.998584,0.0001993254,0.0001458392,0.0002784507,0.0004299425,0.000362379],"domain_scores_gemma":[0.9957698,0.0002956545,0.001113141,0.0002886091,0.001877604,0.0006552648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000934252,0.00003988434,0.9962654,0.0000485993,0.0001130026,0.00004188243,0.0005070697,0.0002410958,0.0000680574,0.00006061191,0.0009151773,0.001605799],"study_design_scores_gemma":[0.0000176814,0.00004272435,0.9970822,0.0000513131,0.00007203394,0.0000481711,0.001002581,0.0007183637,0.00005729972,0.0000201191,0.0008725069,0.00001487745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760082,0.001193725,0.0004698265,0.0004616178,0.00002104538,0.0002093402,0.02030973,0.0000372301,0.001289297],"genre_scores_gemma":[0.9859316,0.001137655,0.0007245132,0.0002099026,0.00001402766,0.0001737706,0.0108141,0.0000128314,0.0009816303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02916688,"threshold_uncertainty_score":0.2116215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1313178975070947,"score_gpt":0.4114144208426135,"score_spread":0.2800965233355188,"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."}}