{"id":"W4206987396","doi":"10.1371/journal.pmed.1003905","title":"Ruling out pulmonary embolism across different healthcare settings: A systematic review and individual patient data meta-analysis","year":2022,"lang":"en","type":"review","venue":"PLoS Medicine","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; McMaster University; Impact; University of Ottawa; Wilfrid Laurier University; Ottawa Hospital","funders":"Principia Biopharma; Swedish Orphan Biovitrum; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; ZonMw; University of Ottawa; Sanofi; Daiichi-Sankyo; Amgen; Pfizer; Bristol-Myers Squibb; Heart and Stroke Foundation of Canada","keywords":"Meta-analysis; Medicine; Pulmonary embolism; Health care; Systematic review; Intensive care medicine; MEDLINE; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002743074,0.001289523,0.02709958,0.00063693,0.000398522,0.0000517806,0.001118978,0.0002505881,0.001680281],"category_scores_gemma":[0.001419239,0.0007456727,0.001880177,0.001157305,0.0001587566,0.0001101592,0.002716298,0.00121698,0.00002947698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002371681,"about_ca_system_score_gemma":0.000154872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001258895,"about_ca_topic_score_gemma":0.00004546861,"domain_scores_codex":[0.9901989,0.001273956,0.003477954,0.001894363,0.002283995,0.0008708121],"domain_scores_gemma":[0.9920299,0.0009224906,0.002334228,0.003936075,0.0001399308,0.0006373606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.000001968938,0.0004494659,0.000001615993,0.7353636,0.2391538,0.0002164457,0.0009375229,6.921572e-8,1.507529e-8,0.00002083072,0.002817847,0.02103684],"study_design_scores_gemma":[0.000145602,0.0002241246,0.00000439817,0.1563987,0.611886,0.00009459953,0.0005400893,0.00001000721,1.905751e-8,0.000003399921,0.2303436,0.0003494119],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00000368924,0.9799414,0.000008364677,0.006637327,0.0002392013,0.01105568,0.001834348,0.0001318857,0.0001481401],"genre_scores_gemma":[0.00004202362,0.9746729,0.00006635625,0.009045655,0.0002819781,0.003832354,0.01163749,0.0001566022,0.0002646644],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5789649,"threshold_uncertainty_score":0.9999856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3448236361893501,"score_gpt":0.4216743538827664,"score_spread":0.07685071769341623,"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."}}