{"id":"W4224231982","doi":"10.2337/dc22-0348","title":"Trends in All-Cause and Cause-Specific Mortality Among Individuals With Diabetes Before and During the COVID-19 Pandemic in the U.S.","year":2022,"lang":"en","type":"letter","venue":"Diabetes Care","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Pandemic; Diabetes mellitus; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus Infections; Betacoronavirus; Cause of death; MEDLINE; Virology; Internal medicine; Disease; Outbreak; Infectious disease (medical specialty); Endocrinology","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":[0.002804727,0.0002120495,0.0004535982,0.0007670906,0.001572604,0.001359143,0.000754986,0.006743459,0.003325319],"category_scores_gemma":[0.01273717,0.0002583998,0.0004095357,0.001509734,0.0004895889,0.001050294,0.0006822417,0.004022597,0.001821363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002557281,"about_ca_system_score_gemma":0.004717883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09467992,"about_ca_topic_score_gemma":0.1722613,"domain_scores_codex":[0.9981066,0.0006589614,0.0003481306,0.000205085,0.000419537,0.0002616484],"domain_scores_gemma":[0.9917954,0.003384269,0.0009262877,0.000264277,0.00225895,0.001370874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003364131,0.0001009728,0.08519197,0.0001137187,0.00003540595,0.0006269675,0.0003362681,0.00007142675,0.0002112049,0.0007817268,0.8883867,0.02380731],"study_design_scores_gemma":[0.0004879375,0.0004826232,0.4555153,0.001686233,0.0001844681,0.00173358,0.004880611,0.001212765,0.0005877976,0.00370246,0.5293632,0.0001631477],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03275339,0.005491436,0.00008649987,0.9316653,0.009739453,0.00003450305,0.006607245,0.00005061193,0.01357156],"genre_scores_gemma":[0.1340053,0.007966316,0.0005695197,0.8140563,0.02104897,0.0002139273,0.004091524,0.00005263902,0.01799556],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09467992,"threshold_uncertainty_score":0.1882576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08491183827077553,"score_gpt":0.3810213913438134,"score_spread":0.2961095530730379,"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."}}