{"id":"W2767216407","doi":"10.1016/j.jemermed.2017.08.011","title":"Bedside Identification of Massive Pulmonary Embolism with Point-of-Care Transesophageal Echocardiography","year":2017,"lang":"en","type":"article","venue":"Journal of Emergency Medicine","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre; University of Manitoba","funders":"","keywords":"Medicine; Pulmonary embolism; Emergency department; Ventricle; Resuscitation; Emergency ultrasound; Cardiopulmonary resuscitation; Cardiology; Pulseless electrical activity; Shock (circulatory); Internal medicine; Radiology; Intensive care medicine; Medical emergency; Ultrasound; Emergency 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":[0.0009117489,0.001036638,0.001151813,0.001857732,0.0007567425,0.001071798,0.0007423682,0.002324603,0.002076916],"category_scores_gemma":[0.00730929,0.0005110409,0.0005429535,0.0004987386,0.0007464898,0.001861767,0.001032633,0.002382216,0.0007725786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003118585,"about_ca_system_score_gemma":0.0006879607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005414299,"about_ca_topic_score_gemma":0.0008720447,"domain_scores_codex":[0.9989913,0.0002736637,0.0001697634,0.0001198229,0.0002961895,0.0001492376],"domain_scores_gemma":[0.9983894,0.0007385569,0.0001788681,0.0001069915,0.000235433,0.0003508585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.002814142,0.0004430341,0.3731284,0.0004002653,0.0001182826,0.5246618,0.0004889547,0.0008978694,0.02630705,0.001136961,0.005638055,0.06396517],"study_design_scores_gemma":[0.0001768476,0.001904561,0.1602165,0.0005085317,0.0002409191,0.7964188,0.0009843212,0.01566294,0.01638195,0.002911552,0.00450277,0.00009024572],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9229174,0.01060951,0.03061025,0.007889034,0.0007891138,0.0004454525,0.0002804558,0.0004450419,0.02601375],"genre_scores_gemma":[0.9872484,0.001952478,0.007828724,0.0009517136,0.001310252,0.00003301164,0.0001552857,0.00001968172,0.0005003791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002324603,"threshold_uncertainty_score":0.006947994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04001102191420569,"score_gpt":0.3717408962307787,"score_spread":0.331729874316573,"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."}}