{"id":"W2909535800","doi":"10.1097/mlr.0000000000001055","title":"External Validation of ASPECT (Algorithm for Suspected Pulmonary Embolism Confirmation and Treatment)","year":2019,"lang":"en","type":"article","venue":"Medical Care","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; McGill University; Jewish General Hospital","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Diagnosis code; Confidence interval; Pulmonary embolism; Medical prescription; Medical diagnosis; Algorithm; Emergency department; Hazard ratio; Likelihood ratios in diagnostic testing; Emergency medicine; Pediatrics; Internal medicine; Radiology; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.03147313,0.0008171636,0.0008968616,0.003286166,0.0007328012,0.001601252,0.001661989,0.0007254353,0.001769999],"category_scores_gemma":[0.08608642,0.0003711352,0.001244278,0.002369186,0.000750167,0.0006213108,0.001878327,0.0008043538,0.0006502976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003300229,"about_ca_system_score_gemma":0.009625544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05933986,"about_ca_topic_score_gemma":0.07572401,"domain_scores_codex":[0.9765657,0.006935725,0.004666844,0.00287024,0.007903689,0.001057821],"domain_scores_gemma":[0.9016709,0.02107419,0.01421287,0.00648594,0.05469409,0.001862026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007249291,0.0001318181,0.9534133,0.0002378232,0.0002594826,0.0001301821,0.0003789254,0.001558828,0.0009455062,0.0004966783,0.009606787,0.03211582],"study_design_scores_gemma":[0.0001850824,0.0002965214,0.9648554,0.0002646454,0.0002072093,0.0004646803,0.0001979195,0.01542078,0.002675777,0.0002663761,0.01513207,0.00003356247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8316005,0.001423304,0.07626615,0.001625376,0.0004827943,0.01373204,0.0499579,0.001798814,0.02311319],"genre_scores_gemma":[0.8708451,0.0003700751,0.08000669,0.00117266,0.0001726987,0.004259692,0.04096632,0.0001757123,0.002031029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05933986,"threshold_uncertainty_score":0.1664478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139675274218321,"score_gpt":0.2757009123626895,"score_spread":0.2643041596205063,"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."}}