{"id":"W2410212691","doi":"","title":"Incidence, coronary risk profile and angiographic characteristics of prediabetic and diabetic patients in a population with ischemic heart disease.","year":2003,"lang":"en","type":"article","venue":"PubMed","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Medicine; Internal medicine; Impaired fasting glucose; Insulin resistance; Prediabetes; Diabetes mellitus; Coronary artery disease; Cardiology; Impaired glucose tolerance; Population; Incidence (geometry); Abdominal obesity; Type 2 diabetes; Obesity; Endocrinology; Metabolic syndrome","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002797943,0.0002271744,0.000291028,0.0009740025,0.0005184048,0.0004725291,0.0004307252,0.0004217186,0.0009064708],"category_scores_gemma":[0.001166238,0.0002285354,0.0002141741,0.001291186,0.0002940289,0.000215589,0.0002694432,0.0004068835,0.0001390489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001199315,"about_ca_system_score_gemma":0.001212627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1971454,"about_ca_topic_score_gemma":0.2096586,"domain_scores_codex":[0.9996879,0.00002689725,0.00002555534,0.00005181793,0.000126272,0.00008160708],"domain_scores_gemma":[0.9993461,0.00005601942,0.0002382751,0.00002896985,0.0001214563,0.0002090956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003549338,0.00001125568,0.999303,0.000002666818,0.000008404238,0.00004515823,0.00002328949,0.00001013102,0.00002899461,0.000005395512,0.00007691886,0.0004491557],"study_design_scores_gemma":[0.000003343764,0.00002204077,0.9995427,0.000001894164,0.000006187174,0.0001893438,0.00008211246,0.00006563053,0.000007573595,0.000005146953,0.00007272804,0.000001269632],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985855,0.0001873778,0.00002233555,0.00003740597,0.000003447503,0.00001145323,0.0007819402,0.000002632821,0.0003679047],"genre_scores_gemma":[0.9985633,0.000129726,0.00004598928,0.00002331032,0.000007277825,0.000009064009,0.001134515,7.663693e-7,0.00008602958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1971454,"threshold_uncertainty_score":0.3919957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004660209320170013,"score_gpt":0.1742937643226379,"score_spread":0.1696335550024679,"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."}}