{"id":"W4388598952","doi":"10.1016/j.rpth.2023.100631","title":"OC 11.1 Development and Validation of a Clinical Prediction Model for the Diagnostic Management of Acute Pulmonary Embolism: An Individual Participant Data Meta-Analysis","year":2023,"lang":"en","type":"article","venue":"Research and Practice in Thrombosis and Haemostasis","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Queen's University; Impact; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Pulmonary embolism; Medicine; Meta-analysis; Intensive care medicine; Internal medicine","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":[0.04240528,0.002664831,0.005088059,0.00204383,0.0007123571,0.003292868,0.002216622,0.00210431,0.00686818],"category_scores_gemma":[0.0635505,0.001283089,0.02219371,0.001804913,0.0005017483,0.001220467,0.001506565,0.002731967,0.001335464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009828503,"about_ca_system_score_gemma":0.002275494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006115064,"about_ca_topic_score_gemma":0.006362138,"domain_scores_codex":[0.976504,0.01821565,0.001127114,0.002596084,0.001195039,0.0003621179],"domain_scores_gemma":[0.9636333,0.02936163,0.001832858,0.002999119,0.001681642,0.0004915267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.04055024,0.0004256838,0.1082542,0.01482702,0.7221613,0.0003986211,0.0002785612,0.02387646,0.002303696,0.001722015,0.01450525,0.07069699],"study_design_scores_gemma":[0.01172348,0.003473657,0.04428977,0.001922385,0.8508401,0.0005258849,0.000104976,0.06319824,0.001669971,0.005664439,0.01638228,0.0002047694],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4667661,0.1867221,0.2390788,0.01532996,0.005041664,0.003473203,0.06517765,0.005057057,0.01335337],"genre_scores_gemma":[0.9319659,0.008886263,0.03745867,0.002366652,0.0007351558,0.002153256,0.0114391,0.0006202363,0.004374764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04240528,"threshold_uncertainty_score":0.2242633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7348899610326305,"score_gpt":0.5639354145374096,"score_spread":0.1709545464952209,"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."}}