{"id":"W1966149309","doi":"10.4021/jem.v2i2.67","title":"Derivation and Validation of a Risk Index to Predict All-Cause Mortality in Type 2 Diabetes Mellitus","year":2012,"lang":"en","type":"article","venue":"Journal of Endocrinology and Metabolism","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; National Death Index; Retrospective cohort study; Type 2 Diabetes Mellitus; Risk of mortality; Cohort; Diabetes mellitus; Statistic; Internal medicine; Risk assessment; Emergency medicine; Hazard ratio; Statistics; Confidence interval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01278523,0.0009254881,0.0007068757,0.002797669,0.0004012458,0.001416455,0.0008488824,0.0007668209,0.0005150432],"category_scores_gemma":[0.03300954,0.0002368097,0.001092627,0.001252667,0.0003678388,0.0005423155,0.0009386681,0.001027458,0.0003263231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007452871,"about_ca_system_score_gemma":0.001134019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002616068,"about_ca_topic_score_gemma":0.001560716,"domain_scores_codex":[0.9961877,0.001792138,0.0005179652,0.0003704746,0.0009643565,0.0001672013],"domain_scores_gemma":[0.9803072,0.009778261,0.002832448,0.001564279,0.004800645,0.0007171186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004190305,0.0002167667,0.9835033,0.00001982573,0.0001577844,0.00004826232,0.00009154607,0.003124433,0.0004404075,0.00009740531,0.0002619925,0.01161911],"study_design_scores_gemma":[0.0001411361,0.001404311,0.8378996,0.00006799833,0.0002468953,0.0003955864,0.000201496,0.1554096,0.002496138,0.0006716823,0.001018987,0.00004646676],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810011,0.0001747919,0.01606742,0.0000913879,0.00005465792,0.0003915888,0.0008232422,0.0001116619,0.001284226],"genre_scores_gemma":[0.9822365,0.00005429755,0.01622251,0.00003472903,0.00002378561,0.0001727305,0.001123893,0.00001378775,0.0001177503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01278523,"threshold_uncertainty_score":0.06761557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04122251343184004,"score_gpt":0.3279688599966114,"score_spread":0.2867463465647714,"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."}}