{"id":"W1607008155","doi":"","title":"CODED EXCITATION METHODS FOR ULTRASOUND HARMONIC IMAGING","year":2007,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Chirp; Bandwidth (computing); Acoustics; Harmonic; Waveform; Second-harmonic imaging microscopy; Transducer; Frequency domain; Nonlinear system; Harmonic analysis; Fourier transform; Optics; Computer science; Electronic engineering; Physics; Radar; Engineering; Telecommunications; Second-harmonic generation; Computer vision","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":[0.0002508906,0.0001004704,0.00008771192,0.0001283556,0.0001307363,0.00004520055,0.0001044794,0.00005697966,0.00004492022],"category_scores_gemma":[0.0001165513,0.0001187298,0.00003715606,0.0001530487,0.00002933445,0.00005314266,0.000001704403,0.00008933671,0.00002115653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002437583,"about_ca_system_score_gemma":0.00008708578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008749179,"about_ca_topic_score_gemma":0.00405889,"domain_scores_codex":[0.9993325,0.000005887327,0.0001485882,0.0001093236,0.0000395068,0.0003641548],"domain_scores_gemma":[0.9990769,0.0004222157,0.00001499469,0.000152584,0.00006740443,0.000265923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000201096,0.000006446923,0.0002541655,0.00004877403,0.00003495215,0.0000028263,0.0004694327,0.003194677,0.9159452,0.003268753,0.009526722,0.06724601],"study_design_scores_gemma":[0.001345388,0.00003614039,0.07477143,0.00004934079,0.000363954,0.0001228811,0.002275415,0.3071254,0.01850171,0.02226599,0.5714992,0.001643113],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02612239,0.0003590315,0.9687588,0.00007432605,0.0003097748,0.0002286231,0.00008116238,0.000145995,0.003919871],"genre_scores_gemma":[0.8461707,0.00002960857,0.1530057,0.0002957301,0.0001635766,0.00002970515,0.00007070396,0.00004402971,0.0001901939],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8974435,"threshold_uncertainty_score":0.4841659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01402016217061238,"score_gpt":0.2878420494659157,"score_spread":0.2738218872953033,"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."}}