{"id":"W4310584092","doi":"10.1109/ius54386.2022.9958166","title":"Optimized Transmission Electrical Broadband Impedance Matching for PolyCMUT","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Ultrasonics Symposium (IUS)","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Impedance matching; Bandwidth (computing); Electronic engineering; Broadband; Ringing; Chebyshev filter; Computer science; Electrical impedance; Electronic circuit; Electrical engineering; Filter (signal processing); Engineering; 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":[0.000204224,0.0005840153,0.0002822259,0.000365056,0.0002781177,0.00111655,0.0005949507,0.0007130774,0.002085747],"category_scores_gemma":[0.0007668962,0.0002096647,0.0001815285,0.0008734937,0.0003126405,0.0008107785,0.0004081478,0.0003052954,0.0006341164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137763,"about_ca_system_score_gemma":0.0004514526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005411397,"about_ca_topic_score_gemma":0.001288697,"domain_scores_codex":[0.9997515,0.00003802268,0.0000129731,0.0000632959,0.00009599955,0.00003806226],"domain_scores_gemma":[0.9997032,0.00005881464,0.0001466524,0.00003408833,0.00004224419,0.00001490205],"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":[0.0002525197,0.00009453527,0.0007254172,0.0002445076,0.00002386636,0.0001973342,0.0001147957,0.01329694,0.9351165,0.02000334,0.001542003,0.02838833],"study_design_scores_gemma":[0.0000885359,0.000530136,0.001177805,0.00005783507,0.00004719776,0.0002710566,0.0000649272,0.1033097,0.877375,0.002686459,0.01435514,0.00003621498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6446332,0.001034992,0.3200343,0.0007708023,0.0003298817,0.0002054942,0.0004461495,0.00173015,0.03081498],"genre_scores_gemma":[0.9303491,0.0002245478,0.06528345,0.0001003653,0.00003237769,0.00007833449,0.0001220652,0.00012361,0.003686141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002085747,"threshold_uncertainty_score":0.008255064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008038783439497595,"score_gpt":0.2311006324373613,"score_spread":0.2230618489978637,"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."}}