{"id":"W2994468562","doi":"","title":"BIOMEDICAL ULTRASOUND IMAGING FROM 1 TO 1000 MHZ","year":2009,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ultrasound; Transducer; Ultrasonic sensor; Acoustics; Materials science; Image resolution; Bandwidth (computing); Instrumentation (computer programming); Acoustic microscopy; Ranging; Optics; Biomedical engineering; Microscopy; Computer science; Physics; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004831336,0.0005121783,0.0003394686,0.001977072,0.0004525149,0.001019536,0.0005701972,0.001154991,0.03196244],"category_scores_gemma":[0.001685122,0.0003055184,0.0002870341,0.001325378,0.0004772339,0.001439219,0.0009333502,0.001019126,0.01472162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006608904,"about_ca_system_score_gemma":0.0004768796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001282137,"about_ca_topic_score_gemma":0.001407897,"domain_scores_codex":[0.9995962,0.00004171023,0.00002251846,0.00007068262,0.0002307093,0.00003818541],"domain_scores_gemma":[0.9995525,0.0001176658,0.00003871904,0.0000458565,0.0002028659,0.00004224971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004218914,0.0000938647,0.002220405,0.001147107,0.00003536306,0.0004520317,0.0004092346,0.000884777,0.3892376,0.008107997,0.03384729,0.5631424],"study_design_scores_gemma":[0.00006179809,0.0006356073,0.01610252,0.001495515,0.0001088412,0.005922812,0.0003515487,0.003014786,0.1632217,0.01218652,0.7967413,0.0001569402],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1017064,0.1680534,0.2605849,0.008161022,0.002716052,0.0005679978,0.005948668,0.009409435,0.4428521],"genre_scores_gemma":[0.3942809,0.09409847,0.2255475,0.005889808,0.001450964,0.0007024253,0.004647022,0.001058549,0.2723242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03196244,"threshold_uncertainty_score":0.106925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006051194030612199,"score_gpt":0.2345753148929108,"score_spread":0.2285241208622986,"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."}}