{"id":"W4293661077","doi":"10.3390/s22176428","title":"A Study of Optimizing Lamb Wave Acoustic Mass Sensors’ Performance through Adjustment of the Transduction Electrode Metallization Ratio","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Acoustic Wave Resonator Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Total harmonic distortion; Sensitivity (control systems); CMOS; Materials science; Transmission (telecommunications); Optoelectronics; Electrode; Distortion (music); Acoustics; Electronic engineering; Electrical engineering; Physics; Engineering; Voltage; Amplifier","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001290615,0.0001562447,0.0002340333,0.00008914278,0.0001183521,0.000004581733,0.0001679143,0.00005004084,0.00003779391],"category_scores_gemma":[0.00003272544,0.0001333091,0.00006616888,0.0005058039,0.00005016205,0.00007194275,0.00004593563,0.0002616195,5.025108e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001781982,"about_ca_system_score_gemma":0.00001774618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009991895,"about_ca_topic_score_gemma":0.000004330751,"domain_scores_codex":[0.99881,0.00008072346,0.0003329228,0.0001681676,0.0004032416,0.0002049388],"domain_scores_gemma":[0.9994481,0.0000418477,0.0001092032,0.0003376371,0.00005128884,0.00001192296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001475552,0.0000663261,0.0000650065,0.00007025199,0.00009451661,0.000001794042,0.002430909,0.8853345,0.1115009,0.00006258646,0.00002350195,0.0003349804],"study_design_scores_gemma":[0.0005655129,0.0003966323,0.001255087,0.0000195736,0.0002236552,0.0000267373,0.02090721,0.7260379,0.2502221,0.00006831931,0.00007686245,0.0002004766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926356,0.0002309756,0.005808642,0.00002540534,0.0002812498,0.0005818617,0.00001242698,0.0002106517,0.0002131566],"genre_scores_gemma":[0.9983595,0.0001881266,0.001272347,0.000003885831,0.00002249712,0.00004877451,0.000003653239,0.00003544894,0.00006575209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1592966,"threshold_uncertainty_score":0.5436189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783407497409793,"score_gpt":0.2142679685658863,"score_spread":0.1964338935917884,"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."}}