{"id":"W4206444076","doi":"10.2196/32230","title":"Automated Pulmonary Embolism Risk Assessment Using the Wells Criteria: Validation Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; Agency for Healthcare Research and Quality","keywords":"Medicine; Pulmonary embolism; Emergency department; Retrospective cohort study; Malignancy; Predictive value; Chart; Electronic health record; Emergency medicine; Cohort; Radiology; Internal medicine; Health care; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.006815399,0.0007663497,0.0004173015,0.001410972,0.0003180787,0.0006038322,0.0007093032,0.000711488,0.0007982228],"category_scores_gemma":[0.02461695,0.0003294437,0.0006235915,0.0005061072,0.0006579442,0.0006535648,0.0008428953,0.000363089,0.0004131769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006599646,"about_ca_system_score_gemma":0.0008977414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004025028,"about_ca_topic_score_gemma":0.002911236,"domain_scores_codex":[0.9958822,0.001852043,0.0003605025,0.0006142869,0.001112067,0.0001789761],"domain_scores_gemma":[0.9832616,0.007976127,0.001957853,0.00195094,0.004375685,0.0004777666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001815057,0.00169032,0.9573794,0.00007964431,0.000225982,0.0002224734,0.0005239836,0.004101838,0.003476794,0.0002211351,0.0006918625,0.02957144],"study_design_scores_gemma":[0.0007134723,0.005719149,0.9144133,0.00004698483,0.0002178806,0.00143224,0.000424864,0.06871107,0.006394478,0.0002844996,0.001584386,0.00005766334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963709,0.00004362446,0.002471169,0.00001666831,0.000007009925,0.0003370799,0.0003050997,0.00004349875,0.0004048853],"genre_scores_gemma":[0.9930178,0.0000365201,0.005614968,0.00002371113,0.00001100065,0.000175082,0.0009837464,0.000008817567,0.0001284441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006815399,"threshold_uncertainty_score":0.0360437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0810017805422763,"score_gpt":0.4726057415721356,"score_spread":0.3916039610298593,"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."}}