{"id":"W2792701741","doi":"10.1097/md.0000000000009960","title":"Chart validation of inpatient International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) administrative diagnosis codes for venous thromboembolism (VTE) among intravenous immune globulin (IGIV) users in the Sentinel Distributed Database","year":2018,"lang":"en","type":"article","venue":"Medicine","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Hamilton Health Sciences Foundation; Kaiser Permanente; U.S. Department of Health and Human Services","keywords":"Medicine; Medical diagnosis; Pulmonary embolism; Deep vein; Diagnosis code; Medical record; Emergency medicine; Venous thrombosis; Retrospective cohort study; Thrombosis; Pediatrics; Intensive care medicine; Internal medicine; Population; Radiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008105392,0.0003678114,0.0004374247,0.001990788,0.0004277794,0.0008035739,0.0005757013,0.0002993402,0.0006492652],"category_scores_gemma":[0.04051295,0.0002771422,0.0004744715,0.00128032,0.0005253251,0.000337849,0.0006601891,0.0003610205,0.0002646907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007799786,"about_ca_system_score_gemma":0.001306876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008981115,"about_ca_topic_score_gemma":0.00630894,"domain_scores_codex":[0.9913353,0.003819487,0.001072402,0.001209639,0.002166255,0.0003967693],"domain_scores_gemma":[0.9438866,0.02630289,0.01187745,0.005670601,0.01128147,0.0009808985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002221818,0.00009773514,0.9935544,0.00002780554,0.00006866054,0.00008202135,0.0002622326,0.0004067004,0.0005422123,0.00007967771,0.0005295179,0.004126858],"study_design_scores_gemma":[0.00003679447,0.0003144643,0.9937749,0.00003478942,0.00004390211,0.0002296579,0.0001449167,0.003476487,0.001188242,0.00004684251,0.0006993322,0.000009707192],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933822,0.0001124576,0.001912517,0.00003286095,0.0000213168,0.0003608301,0.002998398,0.00003639472,0.001142964],"genre_scores_gemma":[0.9909025,0.00005476239,0.001935932,0.00003017502,0.0000141994,0.0001725383,0.006707006,0.00001108619,0.0001717979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008981115,"threshold_uncertainty_score":0.04286593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08218458717029786,"score_gpt":0.3866808267103246,"score_spread":0.3044962395400267,"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."}}