{"id":"W4280641580","doi":"10.1161/circoutcomes.15.suppl_1.230","title":"Abstract 230: Prediabetes In Young Adults And Its Association With Type 1 Myocardial Infarction-related Admissions And Outcomes: A Population-based Analysis In The United States","year":2022,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon Health Network","funders":"","keywords":"Medicine; Prediabetes; Internal medicine; Myocardial infarction; Odds ratio; Quartile; Odds; Population; Incidence (geometry); Demography; Type 2 diabetes; Diabetes mellitus; Logistic regression; Confidence interval; 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":[0.0007211785,0.0002317586,0.0003379674,0.001095412,0.0003631276,0.0005884596,0.0003172211,0.0003249231,0.001429082],"category_scores_gemma":[0.001345867,0.000259642,0.0007049227,0.001763637,0.0001531918,0.0003691023,0.0005152998,0.0005212961,0.0002769458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003435159,"about_ca_system_score_gemma":0.0004950796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01611401,"about_ca_topic_score_gemma":0.02245322,"domain_scores_codex":[0.9995903,0.0000797081,0.00008935291,0.00008773831,0.00009238995,0.00006053288],"domain_scores_gemma":[0.9987863,0.0001073106,0.0006452877,0.0000639994,0.0001337734,0.0002632542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002307159,0.00001381488,0.999365,0.000007453359,0.00003394035,0.00001476832,0.00001693035,0.000008099114,0.00003311434,0.000003480775,0.0001448704,0.000335369],"study_design_scores_gemma":[0.00000265704,0.00001702373,0.9997476,0.000004944086,0.0000133563,0.00004282247,0.00005749378,0.0000430505,0.000008089829,0.000003663004,0.00005861952,8.055505e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956126,0.0003297961,0.00006274065,0.00007817096,0.00001313719,0.00001729209,0.003515417,0.000005931801,0.0003648209],"genre_scores_gemma":[0.9966397,0.0002181468,0.0001184898,0.0001017802,0.00002524481,0.00003094136,0.002693166,0.000002254137,0.0001704195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01611401,"threshold_uncertainty_score":0.03204042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02203155161558784,"score_gpt":0.2956726280756537,"score_spread":0.2736410764600659,"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."}}