{"id":"W3163530907","doi":"10.3389/fmedt.2021.676995","title":"Inferring the Frank–Starling Curve From Simultaneous Venous and Arterial Doppler: Measurements From a Wireless, Wearable Ultrasound Patch","year":2021,"lang":"en","type":"article","venue":"Frontiers in Medical Technology","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Health Sciences North","funders":"","keywords":"Medicine; Stroke volume; Cardiology; Cardiac output; Doppler effect; Internal medicine; Ultrasound; Central venous pressure; Critically ill; Venous return curve; Radiology; Blood pressure; Hemodynamics; Heart rate; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000388987,0.0002187959,0.000606749,0.0001250451,0.0001370769,0.00003168301,0.0002571381,0.0006396764,0.000149868],"category_scores_gemma":[0.001505229,0.00017553,0.00005645746,0.0003484077,0.0003782874,0.00003665977,0.00009650764,0.001068169,0.00000757879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001584143,"about_ca_system_score_gemma":0.000277982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001218462,"about_ca_topic_score_gemma":0.0002138507,"domain_scores_codex":[0.9978719,0.0001247031,0.0004116533,0.0005143891,0.0006158487,0.0004615153],"domain_scores_gemma":[0.9987925,0.0003747455,0.00007698741,0.0005109306,0.00007505163,0.0001698065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004339733,0.0006467704,0.5398958,0.00005100016,0.0007560499,0.002823902,0.001575247,0.00003282799,0.0222453,0.00004200419,0.001011719,0.4304855],"study_design_scores_gemma":[0.08924967,0.003263535,0.07874984,0.0149897,0.001979838,0.003715999,0.0409702,0.3223619,0.1376164,0.1639017,0.1376209,0.005580387],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770307,0.006939888,0.01059494,0.00275942,0.002162805,0.0002266357,0.00002119069,0.0001660055,0.00009843272],"genre_scores_gemma":[0.9900278,0.002528853,0.006434647,0.0003615113,0.0005008161,0.00003361788,0.00004406672,0.00003404876,0.00003467224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4611459,"threshold_uncertainty_score":0.7157905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122046909215366,"score_gpt":0.2544172793311352,"score_spread":0.2431968102389815,"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."}}