{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003358112,0.0002328766,0.000941042,0.0007458964,0.0003596129,0.00005443324,0.00005507116,0.0001543928,0.00002512388],"category_scores_gemma":[0.0009540251,0.0001702159,0.000505813,0.001789803,0.00002464771,0.0001375081,0.00003359465,0.0004661334,6.010865e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002877961,"about_ca_system_score_gemma":0.0001263481,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007093725,"about_ca_topic_score_gemma":0.0006996791,"domain_scores_codex":[0.996711,0.0009254673,0.0006363607,0.0004477598,0.0009875966,0.000291888],"domain_scores_gemma":[0.9984025,0.0006970459,0.0001983354,0.0003740457,0.0001510165,0.0001770432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001008524,0.00005976518,0.9509263,0.0001284904,0.002886317,0.00000909379,0.001522654,0.04384582,0.000002491902,0.00003194504,0.000002402026,0.0004838457],"study_design_scores_gemma":[0.003707658,0.00004324516,0.9855884,0.00003146725,0.001565604,0.00001091266,0.001541801,0.007109544,8.049223e-7,0.00004032263,0.0001522649,0.0002079672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956802,0.002000826,0.00002907918,0.00115177,0.0001075035,0.0009108755,0.0000595516,0.00004394561,0.00001622929],"genre_scores_gemma":[0.99784,0.0003286936,0.00002267421,0.0005144979,0.0000205436,0.00007442719,0.001172586,0.00001797885,0.000008550059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03673628,"threshold_uncertainty_score":0.9995181,"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."}}