{"id":"W2981630484","doi":"10.1093/eurheartj/ehz746.0197","title":"P5019Derivation and validation of a new probability score in pulmonary embolism suspicion allowing safely reduction of imaging testing: PEPS (Pulmonary Embolism Probability Score)","year":2019,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Pulmonary embolism; Pre- and post-test probability; Logistic regression; Internal medicine; Chest pain; Univariate analysis; Cardiology; Multivariate analysis","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":[0.006041263,0.0008772296,0.000637787,0.001854053,0.0002635346,0.001193332,0.0005804506,0.0006340686,0.001872053],"category_scores_gemma":[0.01624196,0.0002522649,0.000785679,0.000856835,0.0004842172,0.0007962575,0.001181571,0.0007601113,0.0008232571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003336314,"about_ca_system_score_gemma":0.0005814357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006773572,"about_ca_topic_score_gemma":0.0003946638,"domain_scores_codex":[0.9966528,0.001370585,0.0004264505,0.0005603747,0.0008165126,0.0001734591],"domain_scores_gemma":[0.992424,0.003288952,0.001662741,0.0005217618,0.001610593,0.0004919031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006476675,0.0001181749,0.9787028,0.00005238478,0.0001940176,0.0001094511,0.00005015724,0.00163186,0.001571128,0.0001624342,0.0006302137,0.0161295],"study_design_scores_gemma":[0.0001895139,0.001714215,0.9729649,0.00004311243,0.0002499961,0.001128582,0.00008262083,0.01781852,0.003447531,0.0004060261,0.001924445,0.0000304909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883766,0.000364386,0.007926705,0.0001289156,0.00008807987,0.0001592018,0.001321273,0.0000730212,0.001561758],"genre_scores_gemma":[0.9931523,0.00007944951,0.004420484,0.00003674193,0.00005119817,0.000094113,0.001890588,0.00001305703,0.0002621268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006041263,"threshold_uncertainty_score":0.03194964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06025756007769548,"score_gpt":0.2820140930551625,"score_spread":0.221756532977467,"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."}}