{"id":"W4317809320","doi":"10.1080/17455030.2023.2169387","title":"Close link between Fabry–Pérot resonance and natural-resonance frequencies","year":2023,"lang":"en","type":"article","venue":"Waves in Random and Complex Media","topic":"Microwave and Dielectric Measurement Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Resonance (particle physics); Fabry–Pérot interferometer; Dispersion (optics); Reflection (computer programming); Natural frequency; Optics; Permittivity; Dielectric; Physics; Materials science; Nuclear magnetic resonance; Atomic physics; Acoustics; Wavelength","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003862618,0.0001940598,0.0003496521,0.0001741078,0.00006460145,0.00003929222,0.0001337698,0.00009352052,0.00001699915],"category_scores_gemma":[0.0001670635,0.0001758867,0.00003201886,0.0004284034,0.0001065756,0.00009288767,0.00004967241,0.0002402876,0.000008896782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002181438,"about_ca_system_score_gemma":0.00001465656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002956091,"about_ca_topic_score_gemma":0.00006603997,"domain_scores_codex":[0.9988936,0.00004437386,0.0002831757,0.0002421111,0.0001875326,0.0003492716],"domain_scores_gemma":[0.9993237,0.0003701848,0.00002497234,0.0001751248,0.00002972121,0.00007635877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001724602,0.00001519342,0.02391187,0.0004527071,0.00006232278,0.000105341,0.004148012,0.000009675307,0.05552196,0.005123671,0.03717667,0.8733001],"study_design_scores_gemma":[0.01327468,0.0001538371,0.5922893,0.0008203416,0.00007372716,0.00003577314,0.0003386429,0.01949024,0.02594008,0.04819876,0.297631,0.001753664],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9257763,0.06496139,0.0008741636,0.0004596471,0.0004135566,0.0007019342,0.00005402681,0.001076212,0.005682741],"genre_scores_gemma":[0.9905943,0.008024381,0.0008249168,0.00006694465,0.0002445718,0.00003919138,0.00003734938,0.00002339207,0.0001449748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8715464,"threshold_uncertainty_score":0.717245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972256378436512,"score_gpt":0.2465663023788259,"score_spread":0.2168437385944608,"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."}}