{"id":"W4367598919","doi":"10.3390/diagnostics13091590","title":"A Novel Spectral Index for Tracking Preload Change from a Wireless, Wearable Doppler Ultrasound","year":2023,"lang":"en","type":"article","venue":"Diagnostics","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Health Sciences North","funders":"Congressionally Directed Medical Research Programs","keywords":"Preload; Doppler effect; Medicine; Common carotid artery; Central venous pressure; Hemodynamics; Cardiology; Ultrasound; Internal medicine; Blood pressure; Radiology; Heart rate; Carotid arteries; Physics","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":[0.0004134612,0.0005040455,0.0003191333,0.00076768,0.0001934027,0.0007343874,0.0005083656,0.0007529376,0.001321604],"category_scores_gemma":[0.001542868,0.0002208402,0.0002092214,0.0005825331,0.0002512618,0.0007373003,0.0003991499,0.0004489873,0.0006252037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002625615,"about_ca_system_score_gemma":0.0002454076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004226674,"about_ca_topic_score_gemma":0.0006585688,"domain_scores_codex":[0.9996372,0.00006768089,0.00001984185,0.0001065525,0.000149931,0.00001871948],"domain_scores_gemma":[0.9994874,0.0001547484,0.0001331197,0.00004910477,0.0001412614,0.00003434801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004881244,0.0002380921,0.006847812,0.0003737387,0.00004721924,0.000170394,0.00013789,0.004368044,0.7101049,0.001388121,0.001591429,0.2742443],"study_design_scores_gemma":[0.0001360175,0.002408497,0.03920412,0.0002082587,0.0002704403,0.003219354,0.000213424,0.2374074,0.692547,0.001940107,0.02219667,0.0002486726],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1914252,0.00322363,0.7943596,0.0003694669,0.0006418824,0.0002844648,0.0004775948,0.001913838,0.007304355],"genre_scores_gemma":[0.6804411,0.001941429,0.312546,0.000586713,0.0002703051,0.0003417567,0.0002217652,0.0001449227,0.003506152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001321604,"threshold_uncertainty_score":0.004421234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05992014092742694,"score_gpt":0.3133849762540841,"score_spread":0.2534648353266572,"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."}}