{"id":"W4389097504","doi":"10.24908/pocus.v8i2.16545","title":"Carotid Flow Time Compared with Invasive Monitoring as a Predictor of Volume Responsiveness in ICU patients","year":2023,"lang":"en","type":"article","venue":"POCUS Journal","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre; University of Manitoba","funders":"","keywords":"Medicine; Pulmonary artery catheter; Pulmonary artery; Carotid arteries; Cardiology; Catheter; Cardiac output; Internal medicine; Intensive care unit; Gold standard (test); Correlation coefficient; Anesthesia; Hemodynamics; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006026403,0.0002638311,0.0003380545,0.0005833872,0.0001520042,0.0004925485,0.0001731016,0.0004343536,0.0009442371],"category_scores_gemma":[0.004896441,0.00007851871,0.0002051723,0.000344772,0.0002647046,0.0002906024,0.0002743929,0.0005692437,0.0001457322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000174886,"about_ca_system_score_gemma":0.000219523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004234885,"about_ca_topic_score_gemma":0.0004719054,"domain_scores_codex":[0.9995346,0.0001576058,0.00005578117,0.00006432422,0.0001280137,0.00005977561],"domain_scores_gemma":[0.9961801,0.001867591,0.001131435,0.00009043933,0.0002052054,0.0005252279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007418022,0.00007212311,0.9948408,0.00001414268,0.00003046502,0.0001475654,0.00005908474,0.0001503114,0.0009305699,0.00002379634,0.00007615119,0.002913194],"study_design_scores_gemma":[0.00002179515,0.001243743,0.9946098,0.00001198158,0.00003746217,0.0005571537,0.0001609504,0.002326438,0.0008267336,0.00007299726,0.0001232269,0.000007737046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990959,0.0001986676,0.0001524644,0.00006010187,0.000009717561,0.000007017068,0.00005194092,0.00000563266,0.0004185578],"genre_scores_gemma":[0.9997583,0.00002880223,0.00007560776,0.00002172674,0.00001562342,0.000005373235,0.0000435842,8.922008e-7,0.00005001244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009442371,"threshold_uncertainty_score":0.00318712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413002667130186,"score_gpt":0.2661334748603231,"score_spread":0.2520034481890212,"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."}}