{"id":"W2127105190","doi":"10.1109/tuffc.2008.683","title":"Single-ensemble-based eigen-processing methods for color flow imaging - Part II. The matrix pencil estimator","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Estimator; Matrix pencil; Rank (graph theory); Mathematics; Algorithm; Eigendecomposition of a matrix; Matrix (chemical analysis); Eigenvalues and eigenvectors; Statistics; Physics; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007643665,0.0004558597,0.0006034755,0.0003560877,0.002175094,0.0001134184,0.0001936789,0.0001609428,0.00003155031],"category_scores_gemma":[0.0001988003,0.0003547994,0.0004162705,0.0008586906,0.0003147953,0.0001899082,7.87266e-7,0.0006928092,0.000004017889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001841228,"about_ca_system_score_gemma":0.0006046183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005341483,"about_ca_topic_score_gemma":0.00001289426,"domain_scores_codex":[0.9974983,0.0001503481,0.0005651359,0.0006161371,0.0003667581,0.0008033236],"domain_scores_gemma":[0.9972429,0.001399258,0.0001871295,0.0004318912,0.0004476303,0.000291243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002107204,0.002516503,0.001670508,0.0003891652,0.0007518255,0.00003484974,0.001266063,0.008227597,0.3173663,0.0004117149,0.001031596,0.6642267],"study_design_scores_gemma":[0.01003283,0.00244263,0.0002524134,0.000229165,0.001728177,0.001291946,0.0001247545,0.9492919,0.02061458,0.0008413357,0.01221911,0.0009310962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01864354,0.00412817,0.9723449,0.002640385,0.000514807,0.001118431,0.00008875355,0.0002506745,0.000270334],"genre_scores_gemma":[0.8432613,0.0003015423,0.1543449,0.001403506,0.0001102053,0.0002974995,0.00001444905,0.00008055508,0.0001860829],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9410644,"threshold_uncertainty_score":0.9998904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02448992183519131,"score_gpt":0.2944310248283445,"score_spread":0.2699411029931532,"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."}}