{"id":"W3045027158","doi":"10.1093/aje/kwaa160","title":"Premature Mortality Due to Hodgkin Lymphoma, Non-Hodgkin Lymphoma, Multiple Myeloma, and Leukemia in Canada: A Nationwide Analysis From 1980 to 2015","year":2020,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian VIGOUR Centre; University of Calgary; University of Alberta; Alberta Cancer Foundation; Alberta Health Services","funders":"Cumming School of Medicine, University of Calgary; University of Alberta; Faculty of Medicine and Dentistry, University of Alberta; Alberta Health Services; World Health Organization","keywords":"Medicine; Lymphoma; Multiple myeloma; Life span; Hodgkin lymphoma; Life expectancy; Leukemia; Internal medicine; Standardized rate; Mortality rate; Cancer; Oncology; Demography; Gerontology; Population; 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":[0.0006800953,0.0003106185,0.0003626281,0.002479624,0.001071894,0.0007365345,0.0007575654,0.0002601192,0.0008894794],"category_scores_gemma":[0.002096929,0.0002175772,0.001044782,0.005791471,0.0003099907,0.0003517225,0.0008729397,0.0006021584,0.0001004052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02100755,"about_ca_system_score_gemma":0.02735662,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9883796,"about_ca_topic_score_gemma":0.9913803,"domain_scores_codex":[0.9991272,0.00005509606,0.00009542414,0.0001202791,0.0003726203,0.0002294791],"domain_scores_gemma":[0.9977863,0.00007323668,0.0004625254,0.00006522234,0.001231898,0.0003807585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006814156,0.000009724336,0.9919251,0.00007889098,0.0001800521,0.00004491915,0.0001029882,0.0002912173,0.0000631389,0.0001231504,0.002054547,0.005058156],"study_design_scores_gemma":[0.000006321664,0.00001190987,0.9970918,0.00004022564,0.00008167639,0.00006248036,0.0002030152,0.0005403054,0.00006074069,0.0000312669,0.00186061,0.000009729026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425934,0.006360221,0.0006256152,0.0007182592,0.00004946719,0.00009046574,0.04700353,0.00004834714,0.002510739],"genre_scores_gemma":[0.9772382,0.002914111,0.0005278588,0.0002554884,0.00002441257,0.00004794693,0.01823054,0.000009562435,0.0007518337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02100755,"threshold_uncertainty_score":0.1524212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383680143613994,"score_gpt":0.3027738756272985,"score_spread":0.2789370741911586,"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."}}