{"id":"W3024080355","doi":"10.1017/cem.2020.110","title":"LO55: Comparison of the age-adjusted D-dimer, clinical probability-adjusted D-dimer, and Wells rule with D-dimer for diagnosing deep vein thrombosis in the emergency department.","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Emergency department; D-dimer; Pulmonary embolism; Deep vein; Thrombosis; Pre- and post-test probability; Age adjustment; Radiology; Surgery; Internal medicine; Epidemiology","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":[0.008126876,0.001070121,0.001352459,0.001106768,0.0002807051,0.001992025,0.00209256,0.001450716,0.004309554],"category_scores_gemma":[0.02323334,0.0005425049,0.00228138,0.0006309623,0.0005172914,0.001792944,0.001431496,0.001436677,0.001112843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181833,"about_ca_system_score_gemma":0.001083649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007807027,"about_ca_topic_score_gemma":0.00839533,"domain_scores_codex":[0.9944981,0.002264065,0.000449625,0.001182988,0.001173398,0.0004317748],"domain_scores_gemma":[0.9912384,0.005228679,0.001339471,0.0006065617,0.0007433444,0.0008434094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2054215,0.0007956952,0.6755595,0.0009417916,0.01333484,0.0003676511,0.0003057854,0.00346651,0.001887861,0.001274319,0.0143262,0.08231843],"study_design_scores_gemma":[0.01778986,0.01431935,0.9169458,0.0004351547,0.00915431,0.0008341264,0.0005520063,0.0287072,0.0013842,0.001239213,0.008253888,0.0003848432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783625,0.005893306,0.002658335,0.0007079039,0.0005653116,0.0004114199,0.005405633,0.0001834643,0.005812104],"genre_scores_gemma":[0.9881166,0.0007246066,0.003129924,0.0005532577,0.0002276688,0.0002638435,0.005644537,0.00006531574,0.00127417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008126876,"threshold_uncertainty_score":0.04297954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2005061830637005,"score_gpt":0.3878094908237607,"score_spread":0.1873033077600602,"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."}}