{"id":"W4297543254","doi":"10.3390/mi13101598","title":"Design and Implementation of Low-Voltage Tunable Capacitive Micro-Machined Transducers (CMUT) for Portable Applications","year":2022,"lang":"en","type":"article","venue":"Micromachines","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; CMC Microsystems","keywords":"Capacitive micromachined ultrasonic transducers; Capacitive sensing; Transducer; Ultrasonic sensor; Microelectromechanical systems; Network topology; Electronic engineering; Materials science; Acoustics; Engineering; Electrical engineering; Optoelectronics; Computer science","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":[0.0002733672,0.0004563209,0.000254925,0.0002445171,0.0001922662,0.0004109561,0.0006870634,0.0005593107,0.0004990582],"category_scores_gemma":[0.0004149828,0.0002365953,0.0001705419,0.0002701825,0.0002316893,0.0005768253,0.0003330463,0.000320192,0.0002414926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002946777,"about_ca_system_score_gemma":0.0003947039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002178716,"about_ca_topic_score_gemma":0.0006907699,"domain_scores_codex":[0.9998158,0.00002161865,0.00001126455,0.00004530204,0.0000798511,0.00002620154],"domain_scores_gemma":[0.9998292,0.00003307769,0.00005459526,0.00001713745,0.00004564073,0.00002037665],"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":[0.00003038406,0.00001517143,0.0002549033,0.0001204806,0.000005305397,0.00008279092,0.00002945412,0.001487712,0.9858491,0.0008989531,0.000134095,0.01109154],"study_design_scores_gemma":[0.00001609188,0.0003513016,0.001067177,0.00001520939,0.00001390948,0.0002634376,0.00005560259,0.02022206,0.9716224,0.0001584758,0.00619631,0.00001806087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6407499,0.003120601,0.3474498,0.0004864991,0.0002813997,0.0005563953,0.0003455757,0.000689658,0.006320121],"genre_scores_gemma":[0.7398363,0.0009156372,0.2571284,0.00007977944,0.00003924802,0.0002684921,0.00009287716,0.00002735619,0.001611936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006870634,"threshold_uncertainty_score":0.002138019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00928268011606798,"score_gpt":0.2409380020319337,"score_spread":0.2316553219158657,"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."}}