{"id":"W4321002207","doi":"10.1186/s40560-023-00655-6","title":"The time cost of physiologically ineffective intravenous fluids in the emergency department: an observational pilot study employing wearable Doppler ultrasound","year":2023,"lang":"en","type":"article","venue":"Journal of Intensive Care","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Health Sciences North; University of Toronto","funders":"","keywords":"Medicine; Emergency department; Preload; Ultrasound; Intravenous fluid; Doppler effect; Doppler ultrasound; Internal medicine; Emergency medicine; Cardiology; Anesthesia; Hemodynamics; Radiology","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":[0.0009427498,0.0002831813,0.0004027652,0.0005357055,0.0003438947,0.0008247988,0.0003423845,0.0005756423,0.001365488],"category_scores_gemma":[0.005738304,0.0002589088,0.0003934666,0.0005881559,0.0004670401,0.0007170423,0.0003810076,0.0007938785,0.0002904143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004424164,"about_ca_system_score_gemma":0.0004957859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001267956,"about_ca_topic_score_gemma":0.001119215,"domain_scores_codex":[0.9990649,0.0004033417,0.0001192592,0.000155406,0.0001344026,0.0001226848],"domain_scores_gemma":[0.9946951,0.001540555,0.002491494,0.0002199112,0.0003330986,0.0007197614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001493249,0.00101648,0.9924715,0.00005610335,0.00008874948,0.0003059474,0.0004435333,0.00006917032,0.0005960347,0.00003344201,0.0001580999,0.003267724],"study_design_scores_gemma":[0.00007672129,0.005679992,0.9907789,0.00002445292,0.00007082059,0.0007056471,0.001540775,0.0004985995,0.0002521352,0.00004120655,0.0003116534,0.00001908173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997095,0.00006214628,0.00005112647,0.00001550333,0.000002350748,0.0000144513,0.0000523737,7.133795e-7,0.00009173516],"genre_scores_gemma":[0.9997061,0.00005252203,0.00008608278,0.00003717755,0.000009789512,0.00001980053,0.00005257344,9.602193e-7,0.00003501048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001365488,"threshold_uncertainty_score":0.004985809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08114946484238872,"score_gpt":0.3558452499205269,"score_spread":0.2746957850781382,"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."}}