{"id":"W2136411676","doi":"10.1109/iembs.2006.260616","title":"Estimating Arterial Stiffness using Transmission Line Model","year":2006,"lang":"en","type":"article","venue":"","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"","keywords":"Transmission line; Ascending aorta; Compliance (psychology); Stiffness; Aorta; Arterial stiffness; Aortic pressure; Cardiology; Blood pressure; Mathematics; Acoustics; Materials science; Physics; Internal medicine; Medicine; Computer science; Telecommunications","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":[0.0005219359,0.0006538825,0.0006000309,0.0007798538,0.0002381166,0.0007117338,0.0006698045,0.0008498058,0.001178247],"category_scores_gemma":[0.003044121,0.0004266101,0.0005296943,0.0005964817,0.0002673643,0.001082525,0.0004083817,0.0005010071,0.0004957249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003413998,"about_ca_system_score_gemma":0.000453501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00457926,"about_ca_topic_score_gemma":0.002945685,"domain_scores_codex":[0.9996548,0.0001253123,0.00001679171,0.00009188063,0.00008666269,0.00002459012],"domain_scores_gemma":[0.9989483,0.0006049772,0.0001438002,0.0001094393,0.0001699706,0.00002349172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001012722,0.00008022145,0.005454364,0.00007175125,0.00008003148,0.0001965382,0.0001141069,0.9385228,0.0121396,0.00280343,0.0003639887,0.04007192],"study_design_scores_gemma":[0.000005278852,0.00003312938,0.000863635,0.000004149555,0.00001239665,0.0000468439,0.000005130569,0.9972764,0.0007293251,0.0008452234,0.0001689498,0.000009685591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08818098,0.00009568915,0.9101322,0.00006176053,0.00001627872,0.0000295298,0.0001472759,0.0004616961,0.0008745041],"genre_scores_gemma":[0.8785802,0.0003665382,0.1177961,0.00003094101,0.00003411607,0.0001047807,0.000426721,0.00006312117,0.002597391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00457926,"threshold_uncertainty_score":0.009105206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785388119714525,"score_gpt":0.3148458691055979,"score_spread":0.2869919879084527,"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."}}