{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008523933,0.000178212,0.000226126,0.0004464545,0.0001341081,0.00006815847,0.0001410392,0.00007899783,0.0003969363],"category_scores_gemma":[0.0003892522,0.0001772619,0.00008139226,0.000484196,0.0001013477,0.00004793104,0.000005804697,0.0002644372,0.0003233822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002291124,"about_ca_system_score_gemma":0.0005267863,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02304247,"about_ca_topic_score_gemma":0.001165637,"domain_scores_codex":[0.9986241,0.00001305266,0.0002018279,0.0003037877,0.0002503351,0.0006068427],"domain_scores_gemma":[0.9974909,0.0001236387,0.00002376879,0.00035759,0.00009359192,0.00191053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005187921,0.000161452,0.0627493,0.00001877201,0.0001040516,0.0003182655,0.001230534,0.00006500437,0.5842004,0.0001166941,0.3141294,0.03685426],"study_design_scores_gemma":[0.000695442,0.0002366735,0.5791147,0.0002004552,0.0002731692,0.0003326358,0.0007847543,0.0002823847,0.0001455102,0.0005307393,0.4169213,0.0004822021],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9217047,0.0005533812,0.03548064,0.02177289,0.00118722,0.0003724154,0.0005396196,0.0002807986,0.01810836],"genre_scores_gemma":[0.9608845,0.00002058839,0.01451835,0.02326975,0.0006476532,0.000002698332,0.000149661,0.00002652509,0.0004802546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5840549,"threshold_uncertainty_score":0.9834632,"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."}}