{"id":"W4380794799","doi":"10.1161/circ.146.suppl_1.12774","title":"Abstract 12774: Detecting Change in Cardiopulmonary Bypass Blood Flow Rate With a Novel, Wireless, Wearable Doppler Ultrasound Patch: A Pilot Study","year":2022,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiovascular and Diving-Related Complications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences North; NOSM University; University of Sudbury","funders":"","keywords":"Medicine; Cardiopulmonary bypass; Doppler effect; Flow velocity; Blood flow; Preload; Common carotid artery; Pulse wave velocity; Cardiac cycle; Cardiology; Hemodynamics; Biomedical engineering; Internal medicine; Carotid arteries; Blood pressure; 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":[0.001150093,0.0005931785,0.0004314411,0.0002325048,0.0002829843,0.000261096,0.0002882671,0.0004826887,0.002086806],"category_scores_gemma":[0.001663721,0.0001704689,0.0003301178,0.0001322455,0.0005333651,0.0003906668,0.0002875967,0.0004892931,0.0004749518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001323591,"about_ca_system_score_gemma":0.0002959489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005775759,"about_ca_topic_score_gemma":0.0004366972,"domain_scores_codex":[0.9995147,0.0002290317,0.00003182592,0.0001032766,0.0000612377,0.00005988409],"domain_scores_gemma":[0.9989452,0.0004794332,0.00008610319,0.00009900034,0.000157169,0.0002331325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.05633595,0.0614134,0.1815097,0.000809194,0.0004810699,0.001660522,0.002129121,0.00111301,0.5936734,0.0001780093,0.001136685,0.09955982],"study_design_scores_gemma":[0.002178806,0.6601728,0.2833728,0.0000257954,0.0003887941,0.001661556,0.0008499288,0.003269844,0.04622494,0.00008509069,0.00172718,0.000042433],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987633,0.00007318964,0.0007838671,0.00003026342,0.00002099692,0.0001328791,0.00003653412,0.000009153639,0.0001498003],"genre_scores_gemma":[0.9968802,0.0001295094,0.001913792,0.0001304713,0.00007724964,0.0002694548,0.0001541573,0.00000742939,0.0004376651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002086806,"threshold_uncertainty_score":0.006981075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04143855854913435,"score_gpt":0.2527817931646389,"score_spread":0.2113432346155045,"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."}}