{"id":"W2944735974","doi":"10.1109/tuffc.2019.2914957","title":"Region-of-Interest-Based Closed-Loop Beamforming for Spinal Ultrasound Imaging","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; Imaging phantom; Distortion (music); Acoustics; Computer science; Reverberation; Process (computing); SIGNAL (programming language); Physics; Optics; Telecommunications; Bandwidth (computing)","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"],"consensus_categories":[],"category_scores_codex":[0.0003088955,0.0003847343,0.0006324988,0.0006043714,0.0002349996,0.00006252289,0.0001548901,0.0001549344,0.00004833237],"category_scores_gemma":[0.00008230575,0.0003626431,0.0004731774,0.0005936435,0.000152099,0.0001820596,3.868363e-7,0.0005728254,0.000007164448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001119185,"about_ca_system_score_gemma":0.0002698651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008325985,"about_ca_topic_score_gemma":0.00001573696,"domain_scores_codex":[0.9979215,0.00004675336,0.0005663126,0.0005641786,0.0002622166,0.0006390099],"domain_scores_gemma":[0.9978958,0.0008755381,0.0002135365,0.0004488001,0.0003271147,0.0002391496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00795148,0.002911759,0.03062706,0.001726808,0.001576861,0.00003742745,0.0004567247,0.003029014,0.7295605,0.003307722,0.0006107395,0.2182039],"study_design_scores_gemma":[0.1419605,0.05008247,0.01146024,0.006789416,0.01171108,0.007749205,0.001481201,0.4737223,0.2469344,0.01108978,0.02842875,0.008590651],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1966505,0.001726585,0.798849,0.000639527,0.0004968541,0.001126808,0.00008294453,0.000117364,0.0003103061],"genre_scores_gemma":[0.9918988,0.0002837143,0.006072848,0.001299915,0.00006011256,0.00009568633,0.00001691522,0.00007102129,0.0002009288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7952483,"threshold_uncertainty_score":0.9998826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074110313948269,"score_gpt":0.2597530979513215,"score_spread":0.2390119948118388,"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."}}