{"id":"W2924140614","doi":"10.1109/tuffc.2019.2906599","title":"Fast Orthogonal Row–Column Electronic Scanning Experiments and Comparisons","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Azimuth; Imaging phantom; Beamforming; Row; Column (typography); Transducer; Row and column spaces; Channel (broadcasting); Optics; Computer science; Sensor array; Focus (optics); Acoustics; Physics; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007668472,0.0004768441,0.0002923007,0.0003608406,0.0003032491,0.0004175679,0.0005160925,0.0004973168,0.00692828],"category_scores_gemma":[0.001246717,0.0002055498,0.0001771563,0.0005136497,0.0004261998,0.0005669125,0.0005371814,0.000287718,0.0006997575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000225925,"about_ca_system_score_gemma":0.0001781902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005917106,"about_ca_topic_score_gemma":0.000525202,"domain_scores_codex":[0.9995549,0.00006694457,0.00003931837,0.0000916568,0.0001680145,0.00007911638],"domain_scores_gemma":[0.9988351,0.0003805242,0.0001327073,0.0002347476,0.0003747348,0.00004210378],"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":[0.0005715802,0.0001682821,0.0005823858,0.000228406,0.00001816208,0.0001499506,0.0001594693,0.003262158,0.9665132,0.002006539,0.0008665052,0.02547335],"study_design_scores_gemma":[0.00004493029,0.001431736,0.001685824,0.00001239536,0.00001652248,0.0001366283,0.0001810684,0.01532539,0.976083,0.0005082989,0.004529648,0.00004454146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9305226,0.0006552011,0.05367958,0.0002277454,0.0001615023,0.000240575,0.001038666,0.0005089468,0.01296513],"genre_scores_gemma":[0.926562,0.001013638,0.06416056,0.0001504466,0.0000468302,0.0002625585,0.001084927,0.0001292042,0.006589707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00692828,"threshold_uncertainty_score":0.02317744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008227635316641283,"score_gpt":0.2367888734288628,"score_spread":0.2285612381122216,"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."}}