{"id":"W1821819993","doi":"10.1016/j.thromres.2015.10.035","title":"Identifying venous thromboembolism and major bleeding in emergency room discharges using administrative data","year":2015,"lang":"en","type":"article","venue":"Thrombosis Research","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; Western University","funders":"","keywords":"Medicine; Diagnosis code; Pulmonary embolism; Intracranial bleeding; Emergency department; Venous thrombosis; Venous thromboembolism; Emergency medicine; Retrospective cohort study; Medical record; Pediatrics; Thrombosis; Surgery; Population; Anticoagulant","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":[0.004591211,0.0005126118,0.0009264656,0.005228881,0.0006052846,0.001705862,0.001308886,0.0007487522,0.001281222],"category_scores_gemma":[0.03680371,0.0005290593,0.001677466,0.007991566,0.0002785499,0.001351291,0.001521564,0.001223175,0.0003717042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009593007,"about_ca_system_score_gemma":0.002706168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02514301,"about_ca_topic_score_gemma":0.02665716,"domain_scores_codex":[0.9910229,0.003071533,0.002495161,0.000907943,0.001748312,0.0007539573],"domain_scores_gemma":[0.9679384,0.01229799,0.01327879,0.002460814,0.002813475,0.001210558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005009941,0.00006909837,0.9967861,0.00003945519,0.0001423182,0.00002381801,0.00005433569,0.0001419384,0.00004288918,0.00009634829,0.0005269729,0.002026683],"study_design_scores_gemma":[0.00002155711,0.00008674881,0.9956821,0.00005050598,0.0001359348,0.0001282375,0.0003851745,0.00223964,0.0001648624,0.0002357527,0.0008568213,0.00001256467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739168,0.0008260672,0.001437497,0.0005161237,0.00004584391,0.0001013846,0.02127561,0.00003835783,0.001842394],"genre_scores_gemma":[0.9744095,0.0005360422,0.002113349,0.0001594736,0.00006717248,0.0001079882,0.02228245,0.000009233861,0.0003149102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02514301,"threshold_uncertainty_score":0.04999328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5630569982123318,"score_gpt":0.521592046111227,"score_spread":0.04146495210110479,"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."}}