{"id":"W3206074040","doi":"10.1016/j.numecd.2021.10.003","title":"The association between GLP-1 receptor agonist and diabetic ketoacidosis in the FDA adverse event reporting system","year":2021,"lang":"en","type":"article","venue":"Nutrition Metabolism and Cardiovascular Diseases","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Diabetic ketoacidosis; Adverse Event Reporting System; Medicine; Adverse effect; Quarter (Canadian coin); Glucagon-like peptide 1 receptor; Diabetes mellitus; Insulin; Ketosis; Internal medicine; Agonist; Endocrinology; Receptor","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001145862,0.0001436126,0.0004890061,0.00005049508,0.0002801803,0.0001153544,0.00004880079,0.00005366464,0.00000528334],"category_scores_gemma":[0.0003769487,0.00009296041,0.0004750343,0.0002347038,0.00004117378,0.0000913936,0.00004798707,0.00008747627,0.000004939399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007471419,"about_ca_system_score_gemma":0.00002942751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002400829,"about_ca_topic_score_gemma":0.000003668348,"domain_scores_codex":[0.9981176,0.0003761115,0.0004377789,0.0003009234,0.0005387222,0.0002289036],"domain_scores_gemma":[0.9990648,0.0001473795,0.000198889,0.0003832552,0.0001062551,0.00009941132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007919664,0.0006821556,0.7826032,0.002248467,0.008134997,0.0002936264,0.000437466,0.000008227777,0.0001307394,0.001821176,0.002505681,0.201055],"study_design_scores_gemma":[0.002618936,0.00002426002,0.868721,0.000258878,0.006892622,0.00001022218,0.003628442,0.00001228135,0.0002747833,0.00009022075,0.1173359,0.0001324734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8512561,0.1459543,0.00003469361,0.0011088,0.0001999414,0.0008373808,0.00005309937,0.00004716244,0.0005084871],"genre_scores_gemma":[0.987974,0.01082374,0.00005666493,0.0001081125,0.0003793238,0.0003287614,0.0002097804,0.00001269351,0.0001069261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2009226,"threshold_uncertainty_score":0.3790815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009685610747845201,"score_gpt":0.2282014814254091,"score_spread":0.2185158706775639,"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."}}