{"id":"W2115055475","doi":"10.1056/nejmoa052367","title":"Multidetector Computed Tomography for Acute Pulmonary Embolism","year":2006,"lang":"en","type":"article","venue":"New England Journal of Medicine","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":1646,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Pulmonary embolism; Radiology; Pre- and post-test probability; Prospective cohort study; Computed tomographic angiography; Computed tomography angiography; Angiography; Predictive value of tests; Pulmonary angiography; Multidetector computed tomography; Positive predicative value; Predictive value; Computed tomography; Internal medicine","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":[0.0010399,0.0003955765,0.0008132515,0.001095081,0.0003488139,0.000538818,0.0004238892,0.0008057299,0.004628962],"category_scores_gemma":[0.003435347,0.0001462722,0.0003754803,0.0006872899,0.0003642423,0.0003684101,0.0004083904,0.001057726,0.001536869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003254377,"about_ca_system_score_gemma":0.0007906356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005815687,"about_ca_topic_score_gemma":0.0007473094,"domain_scores_codex":[0.999199,0.0002902605,0.0001202793,0.00008000202,0.0002181731,0.00009229117],"domain_scores_gemma":[0.9983569,0.0006003909,0.0004672847,0.00009422281,0.0002268755,0.0002543783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002618187,0.0006554676,0.8557096,0.001281955,0.0002998154,0.009579415,0.0001035351,0.0003178365,0.003370472,0.0005256741,0.01300035,0.1125376],"study_design_scores_gemma":[0.001785842,0.002751523,0.8774144,0.001194583,0.0004824872,0.08070798,0.0001115509,0.001356267,0.002182605,0.001355119,0.03060815,0.00004951323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7907234,0.1417222,0.003664808,0.01598964,0.001534279,0.001417228,0.002676469,0.0002345232,0.04203748],"genre_scores_gemma":[0.9669426,0.01659557,0.003075875,0.004720123,0.002167931,0.0003467501,0.002725005,0.00002050214,0.003405611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004628962,"threshold_uncertainty_score":0.01548541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012301713394602,"score_gpt":0.2765697214131131,"score_spread":0.2642680080185111,"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."}}