{"id":"W4205160401","doi":"10.1016/s2213-8587(21)00327-2","title":"Trends in all-cause mortality among people with diagnosed diabetes in high-income settings: a multicountry analysis of aggregate data","year":2022,"lang":"en","type":"article","venue":"The Lancet Diabetes & Endocrinology","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Agency of Canada","funders":"National Institutes of Health; Diabetes Australia; Centers for Disease Control and Prevention; Hospital Authority; Steno Diabetes Center Copenhagen; State Government of Victoria; Regione Lombardia; Istituto di Ricerche Farmacologiche Mario Negri - IRCCS","keywords":"Medicine; Diabetes mellitus; Environmental health; Demography; Population; Gerontology; Aggregate data","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001815303,0.0003893632,0.002455465,0.001202967,0.0001045617,0.00002602881,0.00113348,0.00008899776,0.0002555129],"category_scores_gemma":[0.0002968007,0.0002966115,0.0002933771,0.003004108,0.0003935385,0.000185239,0.0009307615,0.0008825679,0.000003913978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001602874,"about_ca_system_score_gemma":0.00006550264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01658282,"about_ca_topic_score_gemma":0.04422599,"domain_scores_codex":[0.9951974,0.0007986316,0.0007402524,0.0008836804,0.0006526627,0.001727336],"domain_scores_gemma":[0.9958588,0.0005982166,0.0003804478,0.002991828,0.00005988393,0.000110839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001010439,0.0003608536,0.9731728,0.0001180859,0.009684742,0.0002241216,0.0005172557,0.001905093,0.0001258941,0.00004392246,0.0001659412,0.01358029],"study_design_scores_gemma":[0.004768378,0.0002816501,0.9800484,0.00008380161,0.005748298,0.000004084704,0.0003596954,0.006901166,0.000511435,0.0000580766,0.0009194072,0.0003156514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949166,0.002300181,0.000001754308,0.001165382,0.0001374654,0.000622891,0.0006270563,0.0001019724,0.0001266649],"genre_scores_gemma":[0.9966623,0.0003209437,0.0001318815,0.0006828575,0.0001452379,0.0005691534,0.001396788,0.00005460444,0.00003627584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02764317,"threshold_uncertainty_score":0.9999486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03599371790028712,"score_gpt":0.298163518293074,"score_spread":0.2621698003927869,"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."}}