{"id":"W2951905258","doi":"10.1136/annrheumdis-2019-eular.6478","title":"THU0112 SECULAR TRENDS IN THE INCIDENT RISK OF ACUTE MYOCARDIAL INFARCTION IN RHEUMATOID ARTHRITIS RELATIVE TO THE GENERAL POPULATION","year":2019,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Canada","funders":"Northwestern University; Pfizer; University of Alabama at Birmingham; Bristol-Myers Squibb","keywords":"Medicine; Population; Myocardial infarction; Relative risk; Incidence (geometry); Hazard ratio; Cohort; Internal medicine; Diagnosis code; Demography; Proportional hazards model; Confidence interval; Environmental health","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":[0.0004625209,0.0001713931,0.0002123074,0.0008535152,0.0002773754,0.0005596696,0.0002725262,0.0005409404,0.004630808],"category_scores_gemma":[0.001840905,0.0001829553,0.0004504472,0.001677266,0.0001227681,0.0003943609,0.0002427929,0.0007488888,0.0008018161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002677877,"about_ca_system_score_gemma":0.0004063185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03094553,"about_ca_topic_score_gemma":0.0285991,"domain_scores_codex":[0.9997922,0.00004410395,0.00002633944,0.00005157995,0.00003273991,0.00005309556],"domain_scores_gemma":[0.9988075,0.0001575958,0.0004437745,0.00009996898,0.0002818508,0.0002092836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004447958,0.00002642362,0.9936051,0.0000331749,0.0001232807,0.00004743749,0.00005723942,0.00006402525,0.0003365416,0.0000623107,0.001611863,0.003587974],"study_design_scores_gemma":[0.00000898606,0.00003481835,0.999118,0.00000445564,0.00003031341,0.00005120793,0.00004219112,0.0001478748,0.00003540361,0.00001367628,0.000511051,0.000002043356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737155,0.001960346,0.0003082564,0.0008619457,0.0001555008,0.00001003814,0.01814747,0.00006322825,0.004777637],"genre_scores_gemma":[0.9886778,0.0009651124,0.0001684968,0.0001473374,0.0001581944,0.00001297028,0.006696957,0.00001566339,0.003157488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03094553,"threshold_uncertainty_score":0.06153083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565612352594742,"score_gpt":0.3044049699847065,"score_spread":0.288748846458759,"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."}}