{"id":"W2130457594","doi":"10.1109/tuffc.2009.1167","title":"Real-time volume imaging using a crossed electrode array","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Electrode array; Phased array; Electrode; Volume (thermodynamics); Acoustics; Sensor array; Materials science; Transducer; Image resolution; Optics; Computer science; Physics; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000333397,0.0004500823,0.0006124053,0.0005710672,0.0005637066,0.0001704146,0.0001364965,0.0001649714,0.00009117411],"category_scores_gemma":[0.0000620092,0.0004396754,0.0003319996,0.001000432,0.0001386339,0.0002531391,2.106392e-7,0.0008056968,0.00002371838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002560352,"about_ca_system_score_gemma":0.0003186915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002136511,"about_ca_topic_score_gemma":0.000007323054,"domain_scores_codex":[0.9974281,0.00008411444,0.0004948557,0.0006479598,0.0004148062,0.0009302092],"domain_scores_gemma":[0.9985268,0.0002462541,0.0001390136,0.0004385929,0.000273001,0.0003763995],"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":[0.0003390563,0.0004546138,0.001029381,0.0000171791,0.0001580409,0.0000174158,0.0001481376,0.0004884033,0.977007,0.0000851487,0.00005585747,0.02019982],"study_design_scores_gemma":[0.0433099,0.01349904,0.02120026,0.001003725,0.007370725,0.006334518,0.0002220263,0.7485316,0.1378495,0.01057937,0.003915932,0.006183353],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2180578,0.0008162154,0.7766351,0.001443407,0.0002111345,0.0005958762,0.00005309742,0.0003769381,0.001810458],"genre_scores_gemma":[0.9880662,0.0006896946,0.00951459,0.001185322,0.0001077497,0.00001936159,0.00001069994,0.0000608137,0.0003455619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8391574,"threshold_uncertainty_score":0.9998055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007121610578827438,"score_gpt":0.2388969510924391,"score_spread":0.2317753405136116,"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."}}