{"id":"W4210492785","doi":"10.1109/tuffc.2022.3146822","title":"Measuring Velocity, Attenuation, and Reflection in Surface Acoustic Wave Cavities Through Acoustic Fabry–Pérot Spectra","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Acoustic Wave Resonator Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Surface acoustic wave; Fabry–Pérot interferometer; Optics; Attenuation; Materials science; Resonator; Acoustic wave; Reflection (computer programming); Acoustics; Reflection coefficient; Lithium niobate; Bragg's law; Physics; Diffraction; Wavelength","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003604669,0.0003715568,0.0004137118,0.0003454364,0.0005426868,0.00008306154,0.0001689724,0.0001990086,0.00003602601],"category_scores_gemma":[0.00006297122,0.0004299376,0.00007194457,0.0009098747,0.0001091861,0.0002308208,0.000003162082,0.001278079,0.000001992463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000869634,"about_ca_system_score_gemma":0.00009464478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001926397,"about_ca_topic_score_gemma":0.0004052209,"domain_scores_codex":[0.9979433,0.00009614209,0.0004475321,0.0004604648,0.0004477499,0.0006048224],"domain_scores_gemma":[0.999033,0.0004613988,0.00007566904,0.0002720003,0.00007777198,0.00008010698],"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":[0.00006177746,0.0001259539,0.0001879286,0.0001147003,0.0001439524,0.00005065518,0.0007501884,0.8723431,0.1122237,0.0004147014,0.00004793851,0.01353545],"study_design_scores_gemma":[0.002183816,0.0005288893,0.0006179724,0.00004575659,0.0002289282,0.0002869236,0.0009537883,0.9802802,0.008147213,0.005869466,0.0000558696,0.0008012266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2508463,0.002725587,0.7443272,0.0001819106,0.0004321244,0.0005610271,0.0001335646,0.0005134963,0.000278812],"genre_scores_gemma":[0.9965664,0.002001123,0.001042823,0.00007603418,0.0000257555,0.0001633183,0.000004935788,0.00007471055,0.00004485666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7457201,"threshold_uncertainty_score":0.9998152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0249488572582275,"score_gpt":0.2187104623730149,"score_spread":0.1937616051147874,"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."}}