{"id":"W4281812785","doi":"10.2337/db22-162-lb","title":"162-LB: Cardiovascular Outcomes in People with Type 2 Diabetes and Acute Coronary Syndrome—The ELIXA Biomarker Study","year":2022,"lang":"en","type":"article","venue":"Diabetes","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences","funders":"","keywords":"Medicine; Mace; Hazard ratio; Internal medicine; Acute coronary syndrome; Myocardial infarction; Type 2 diabetes; Proportional hazards model; Diabetes mellitus; Confidence interval; Conventional PCI; 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":[0.002778529,0.001671611,0.001415205,0.0003774603,0.0005248802,0.001372378,0.0007308999,0.001177688,0.002819055],"category_scores_gemma":[0.001661217,0.0006916443,0.001076505,0.0006971469,0.0003622694,0.0009633046,0.001608812,0.00178808,0.001363283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003616285,"about_ca_system_score_gemma":0.0005156393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001143521,"about_ca_topic_score_gemma":0.00135246,"domain_scores_codex":[0.9993463,0.0003115355,0.0000458168,0.0001490141,0.00007992535,0.00006737022],"domain_scores_gemma":[0.9992704,0.00009360045,0.000189781,0.0001005039,0.00008695507,0.0002587523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1937416,0.009322016,0.7316388,0.001065292,0.006040255,0.000589362,0.0003921167,0.001064722,0.01383232,0.000994992,0.01120922,0.03010936],"study_design_scores_gemma":[0.04829326,0.01402584,0.9215341,0.0001797368,0.003215102,0.0006271097,0.0002461725,0.002018706,0.00123263,0.0006936961,0.007819167,0.0001143373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815258,0.00220457,0.001018336,0.0009985447,0.000206906,0.0009460418,0.01018358,0.00007462446,0.002841599],"genre_scores_gemma":[0.9547794,0.001399782,0.003375393,0.002267297,0.0008364318,0.002706778,0.02619206,0.00005067923,0.00839216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002819055,"threshold_uncertainty_score":0.01469445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021061356981135,"score_gpt":0.2340954886738383,"score_spread":0.2238848751040269,"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."}}