{"id":"W4387736613","doi":"10.1101/2023.10.17.23297174","title":"Persistent high mortality rates for Diabetes Mellitus and Hypertension after excluding deaths associated with COVID-19 in Brazil, 2020-2022","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Diabetes mellitus; Pandemic; Mortality rate; Demography; Cause of death; Population; Coronavirus disease 2019 (COVID-19); Outbreak; Epidemiology; Public health; Internal medicine; Disease; Environmental health; Virology; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001096757,0.0003159946,0.0002874613,0.001082394,0.0003228945,0.0008343955,0.0004432738,0.0002868585,0.0009775911],"category_scores_gemma":[0.00417887,0.0001939563,0.0007491566,0.001096708,0.0002405114,0.0004378715,0.0006462596,0.0004681833,0.0001827367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049524,"about_ca_system_score_gemma":0.001603173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07629316,"about_ca_topic_score_gemma":0.08826885,"domain_scores_codex":[0.9995269,0.00006525976,0.00007443452,0.0001308566,0.0001046743,0.00009794997],"domain_scores_gemma":[0.9985574,0.0002034381,0.0006933238,0.00008884062,0.000296522,0.0001604896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005320562,0.00001019697,0.991178,0.0001163716,0.0001036642,0.0001660078,0.0004180431,0.00008299643,0.0004726037,0.0002416641,0.0009362784,0.006220967],"study_design_scores_gemma":[0.000006078189,0.0000300189,0.99409,0.0001818518,0.00009902066,0.0004853473,0.000811161,0.0003973334,0.0002509126,0.0001883923,0.003448858,0.00001098853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672439,0.009225038,0.001010493,0.0021029,0.0001206341,0.0000689118,0.01436487,0.00007823653,0.005785003],"genre_scores_gemma":[0.993856,0.001779654,0.0003286718,0.0001911893,0.00003053534,0.00002477305,0.003445566,0.00001116832,0.0003323957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07629316,"threshold_uncertainty_score":0.1516982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1218466672574569,"score_gpt":0.3945064653090085,"score_spread":0.2726597980515515,"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."}}