{"id":"W2030432199","doi":"10.1109/tuffc.2010.1521","title":"Eigen-based clutter filter design for ultrasound color flow imaging: a review","year":2010,"lang":"en","type":"review","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":205,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Clutter; Filter (signal processing); Computer science; Filter design; Computer vision; Artificial intelligence; Algorithm; Radar","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001094682,0.001337761,0.0033309,0.0009303117,0.0005716236,0.000193083,0.0003932825,0.0007581561,0.0001830727],"category_scores_gemma":[0.0003384809,0.001101677,0.002088438,0.001205565,0.0002776193,0.000150274,7.226439e-7,0.002574902,0.00004000175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002709877,"about_ca_system_score_gemma":0.001453114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002370195,"about_ca_topic_score_gemma":0.00001349724,"domain_scores_codex":[0.995106,0.0003317993,0.001398923,0.001352325,0.0005732474,0.001237644],"domain_scores_gemma":[0.9930489,0.004265994,0.0005377057,0.001043912,0.0005153604,0.0005881446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001967448,0.000672043,0.000005605806,0.01792766,0.0008420348,0.00001744967,0.00002718088,0.00004229334,0.0003132632,0.00001965947,0.001868033,0.9780681],"study_design_scores_gemma":[0.003806619,0.001321304,0.000001581066,0.0173548,0.01405149,0.001042027,0.00000221927,0.005572009,0.00005057683,0.0001181509,0.955309,0.001370182],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[8.553904e-7,0.5260657,0.468559,0.0003465237,0.0005271148,0.003679155,0.0006109276,0.0001426199,0.00006812086],"genre_scores_gemma":[0.000350454,0.9645326,0.02713003,0.004418358,0.0002332491,0.002584756,0.0002404043,0.0002908843,0.000219287],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9766979,"threshold_uncertainty_score":0.9999374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02764285330673347,"score_gpt":0.2924804686966972,"score_spread":0.2648376153899638,"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."}}