{"id":"W4309244614","doi":"10.1002/cam4.5389","title":"Evaluating the impact of <scp>COVID</scp>‐19 on cancer declarations in Quebec, Canada","year":2022,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quebec - Clinical Research Organization in Cancer; McGill University Health Centre","funders":"","keywords":"Medicine; Poisson regression; Cancer; Prostate cancer; Confidence interval; Colorectal cancer; Stage (stratigraphy); Lung cancer; Cancer registry; Relative risk; Internal medicine; Oncology; Breast cancer; Pandemic; Demography; Coronavirus disease 2019 (COVID-19); Disease; Population; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006143988,0.0003417126,0.0003461889,0.001033181,0.001001412,0.001479269,0.001562384,0.0004103806,0.002257859],"category_scores_gemma":[0.01789202,0.0002116305,0.0008012993,0.002542474,0.0007302699,0.0004502649,0.001161075,0.00089353,0.0001294484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05318038,"about_ca_system_score_gemma":0.05642235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957905,"about_ca_topic_score_gemma":0.9948775,"domain_scores_codex":[0.996442,0.001227247,0.0001612911,0.0002977698,0.0008460818,0.001025489],"domain_scores_gemma":[0.9812673,0.004822034,0.004945517,0.0005280246,0.006325159,0.002111976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001483818,0.0000301357,0.9869871,0.00009468525,0.0001498085,0.00005896722,0.0004009031,0.002141968,0.00006067651,0.0002413594,0.002573694,0.007112384],"study_design_scores_gemma":[0.00001035845,0.00005907391,0.9929004,0.00008795383,0.0000601733,0.00002361739,0.001278958,0.0032077,0.00009898058,0.00003085268,0.002228606,0.00001335287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699608,0.00273245,0.0007523171,0.003638133,0.00008001705,0.0001190144,0.01803714,0.00003073069,0.004649417],"genre_scores_gemma":[0.9947153,0.0006342282,0.0003803386,0.0002694453,0.00001611426,0.00003700504,0.002953072,0.000006758156,0.0009877731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05318038,"threshold_uncertainty_score":0.3858525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1745920610476852,"score_gpt":0.5060196982239722,"score_spread":0.331427637176287,"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."}}