{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003601549,0.0001415464,0.0003762017,0.0003520486,0.00007042394,0.0000187596,0.0001125365,0.00006783632,0.00005598155],"category_scores_gemma":[0.0002384299,0.0001114063,0.00006630759,0.0004462563,0.00004575671,0.00008752797,0.00002653458,0.0003506523,0.00007981926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001734287,"about_ca_system_score_gemma":0.0003404517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006132148,"about_ca_topic_score_gemma":0.000002955808,"domain_scores_codex":[0.9985615,0.0001174719,0.0003497918,0.0001579032,0.000505724,0.0003075839],"domain_scores_gemma":[0.9990361,0.0001216684,0.0001531813,0.0001832281,0.0003047918,0.0002010088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001195151,0.0001427316,0.9876795,0.00005131024,0.0001125694,0.0002637305,0.001633393,0.0007262983,0.006535177,0.000001009648,0.0001812284,0.001477882],"study_design_scores_gemma":[0.005358594,0.0009049748,0.983135,0.001466273,0.00004135119,0.0001750358,0.0003166824,0.001157036,0.007028933,0.00006004864,0.0002199071,0.0001361469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987371,0.00005045216,0.00001797257,0.000194088,0.0004632281,0.0002359649,0.00001297489,0.00004156377,0.0002466328],"genre_scores_gemma":[0.9981592,0.00006898926,0.0003839788,0.00001034401,0.0003661288,0.00001191022,0.00001121271,0.0000312691,0.0009569196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004544503,"threshold_uncertainty_score":0.4543017,"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."}}