{"id":"W4393250852","doi":"10.1007/s12630-024-02717-1","title":"Venous congestion in septic shock quantified with point-of-care ultrasound: a pilot prospective multicentre cohort study","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Anesthesia/Journal canadien d anesthésie","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; McMaster University; London Health Sciences Centre; Western University","funders":"","keywords":"Medicine; Hazard ratio; Septic shock; Observational study; Confidence interval; Prospective cohort study; Intensive care; Shock (circulatory); Emergency medicine; Cohort study; Intensive care medicine; Internal medicine; Sepsis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001415084,0.0003814186,0.001029117,0.001083148,0.0002297646,0.0002148419,0.0003963403,0.0001694919,0.0002288357],"category_scores_gemma":[0.0006837749,0.0003066938,0.0002321088,0.001064626,0.000342295,0.0003604224,0.000005615084,0.001558627,0.00002165485],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001968715,"about_ca_system_score_gemma":0.006899248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008332055,"about_ca_topic_score_gemma":0.09043223,"domain_scores_codex":[0.9965836,0.0001946445,0.001362163,0.0004269067,0.000702315,0.0007303964],"domain_scores_gemma":[0.9954656,0.0006330626,0.0005307538,0.0003858576,0.001232781,0.001751949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"case_report","study_design_scores_codex":[0.000815055,0.0005817926,0.7279431,0.0001956664,0.0004780069,0.2595999,0.008741864,0.0002950782,0.0001143316,0.0002626196,0.0002607669,0.0007118731],"study_design_scores_gemma":[0.001780364,0.008702102,0.4438831,0.001031557,0.0006226306,0.5358024,0.007275006,0.00002213385,0.00003409932,0.000142122,0.0004594146,0.0002450506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994274,0.002040259,0.00002174523,0.001589812,0.0002172008,0.001386526,0.00001261972,0.00002010755,0.0004376824],"genre_scores_gemma":[0.9986002,0.00008388744,0.0005927126,0.00005184495,0.0003531672,0.00002613048,0.00001323137,0.00008614422,0.0001926425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2840599,"threshold_uncertainty_score":0.9999385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546354358733815,"score_gpt":0.271089598731278,"score_spread":0.2556260551439399,"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."}}