{"id":"W2043729164","doi":"10.1111/acem.12450","title":"Arming the Bayesian Physician to Rule Out Pulmonary Embolism: Using Evidence‐based Diagnostics to Combat Overtesting","year":2014,"lang":"en","type":"letter","venue":"Academic Emergency Medicine","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Overdiagnosis; Pulmonary embolism; Pulmonary angiography; Emergency department; Intensive care medicine; Emergency medicine; Medical emergency; Radiology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.034521,0.001089789,0.002114541,0.003842841,0.001703198,0.00652726,0.003346486,0.006537667,0.007275957],"category_scores_gemma":[0.1873595,0.0009061599,0.001193236,0.001153141,0.00355107,0.008594366,0.004577558,0.0140379,0.002032647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004019144,"about_ca_system_score_gemma":0.01045822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008211263,"about_ca_topic_score_gemma":0.01243871,"domain_scores_codex":[0.9813989,0.01245752,0.001286345,0.001562339,0.002720992,0.0005739243],"domain_scores_gemma":[0.8518682,0.1148489,0.0111157,0.002631647,0.01227269,0.007262929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008645928,0.0005813786,0.02671173,0.002406978,0.001234938,0.001059416,0.001248057,0.01051193,0.0006633616,0.04092611,0.1791161,0.7346755],"study_design_scores_gemma":[0.001699324,0.001364,0.0160562,0.02096017,0.001262454,0.002074735,0.002300503,0.07790588,0.001442554,0.6246051,0.2497012,0.0006279122],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01037894,0.0569584,0.09228434,0.8187373,0.004353667,0.000274629,0.0002666702,0.0004879683,0.01625812],"genre_scores_gemma":[0.4670683,0.07863579,0.185588,0.2383774,0.02409246,0.0006348019,0.0005126723,0.000306469,0.004784046],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.034521,"threshold_uncertainty_score":0.1825666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7299816719994687,"score_gpt":0.5792926620730403,"score_spread":0.1506890099264284,"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."}}