{"id":"W2891006453","doi":"10.1371/journal.pone.0203484","title":"HbA1c, lipid profiles and risk of incident type 2 Diabetes in United States Veterans","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; York University; U.S. Department of Veterans Affairs","keywords":"Prediabetes; Medicine; Type 2 diabetes; Internal medicine; Hazard ratio; Diabetes mellitus; Population; Impaired fasting glucose; Proportional hazards model; Veterans Affairs; Endocrinology; Impaired glucose tolerance; Confidence interval; Environmental health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004461078,0.0001538579,0.0001598869,0.0005410564,0.0002622056,0.0005954493,0.0001959338,0.0002975712,0.0007472193],"category_scores_gemma":[0.001263987,0.0002445656,0.000370926,0.0007471207,0.000135866,0.000243718,0.0002618304,0.0005064483,0.0001103223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003369037,"about_ca_system_score_gemma":0.0003008629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02217862,"about_ca_topic_score_gemma":0.02299304,"domain_scores_codex":[0.9998009,0.00005338162,0.00002397399,0.00004194417,0.00003827833,0.00004162836],"domain_scores_gemma":[0.999373,0.0001030725,0.0002758299,0.00004731249,0.00006726154,0.0001334712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004369377,0.00001188087,0.9993768,0.000001692121,0.00002073022,0.00001135329,0.00001638788,0.00002375566,0.00001750157,0.00000587939,0.00005271143,0.000417514],"study_design_scores_gemma":[0.000004584421,0.00004198742,0.9994241,0.000005136654,0.00002087133,0.00006770584,0.0001025635,0.0002073093,0.00001825699,0.00001952118,0.0000859526,0.000002080865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990231,0.0004164686,0.00003710052,0.00004105436,0.000007303903,0.000002247561,0.0002808504,0.000003058608,0.0001888983],"genre_scores_gemma":[0.9992868,0.0001937073,0.00004099973,0.00002314343,0.000009669483,0.00000253023,0.0003526804,0.00000112366,0.000089309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02217862,"threshold_uncertainty_score":0.04409903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02323133290700564,"score_gpt":0.2285137531203697,"score_spread":0.2052824202133641,"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."}}