{"id":"W2091942523","doi":"10.1117/12.2006732","title":"Non-invasive measurement of pressure gradients using ultrasound","year":2013,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Standard deviation; Imaging phantom; Isotropy; Transverse plane; Ultrasound; Estimator; Constriction; Pressure gradient; Physics; Scanner; Geometry; Transducer; Mathematics; Biomedical engineering; Mechanics; Acoustics; Anatomy; Optics; Statistics; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007380705,0.000564594,0.0005620669,0.0005635891,0.0001780147,0.0007029565,0.0006657487,0.0006125188,0.0008863537],"category_scores_gemma":[0.002128087,0.0004210562,0.0001676919,0.0002838089,0.0003150916,0.0007070248,0.0007475163,0.0006115818,0.000304384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001944086,"about_ca_system_score_gemma":0.0003223179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005303227,"about_ca_topic_score_gemma":0.0006779917,"domain_scores_codex":[0.9987231,0.000182907,0.00004524187,0.0001925618,0.0008034325,0.00005283115],"domain_scores_gemma":[0.9991072,0.0004159904,0.000152557,0.00008146032,0.0002010362,0.0000416841],"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":[0.0001397191,0.00005291533,0.001304276,0.0001901787,0.00001322035,0.00009064171,0.00005773242,0.0009495741,0.9584838,0.0001767079,0.0003592196,0.038182],"study_design_scores_gemma":[0.00007778209,0.001245193,0.03519758,0.00005651308,0.0000613239,0.001110009,0.00007949605,0.07452807,0.8824178,0.0006084325,0.004464644,0.0001531554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3702792,0.003421565,0.6200499,0.0003201377,0.0002472048,0.0002831955,0.0005066578,0.002526582,0.002365533],"genre_scores_gemma":[0.7707103,0.001323067,0.2245326,0.00025801,0.0001833019,0.000334219,0.0002562418,0.0001400703,0.002262163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008863537,"threshold_uncertainty_score":0.003903329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386918156265846,"score_gpt":0.2285330722177459,"score_spread":0.2146638906550874,"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."}}