{"id":"W3161628143","doi":"10.1016/j.measurement.2021.109562","title":"Coupling analysis between resonating metamaterial slabs using scattering parameters","year":2021,"lang":"en","type":"article","venue":"Measurement","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Coupling (piping); Slab; Signal-flow graph; Scattering; Scattering parameters; Optics; Resonator; Cascade; Metamaterial; Physics; Acoustics; Reflection (computer programming); Computational physics; Materials science; Engineering; Computer science; Electrical engineering","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":[0.0007072832,0.0001930403,0.0004379216,0.0002267914,0.0001222107,0.0001384346,0.0001188277,0.00005645936,0.0001006956],"category_scores_gemma":[0.00004928559,0.0002037279,0.0002699448,0.0009163485,0.00001809151,0.00009474601,0.00004055126,0.0001103586,0.00001431957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466753,"about_ca_system_score_gemma":0.00002504264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005513716,"about_ca_topic_score_gemma":0.00003117755,"domain_scores_codex":[0.9983839,0.00004029183,0.0003929747,0.000271972,0.0005755073,0.0003352891],"domain_scores_gemma":[0.999397,0.00002271928,0.00005332815,0.0002770758,0.0001574694,0.00009236424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002227226,0.000006167636,0.01313777,0.0000498979,0.002717228,0.00002098759,0.0001058262,0.1244242,0.8588024,0.000004221004,0.00001059757,0.0007184815],"study_design_scores_gemma":[0.0002337549,0.000006295632,0.003103018,0.00007858576,0.002844974,0.000001946513,0.0002458656,0.8594958,0.1334959,0.00001298481,0.0001209281,0.0003599562],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7223688,0.0005485062,0.2766518,0.00002520218,0.0001384784,0.00004434777,0.000006344575,0.0001393087,0.00007718309],"genre_scores_gemma":[0.9899351,0.00001686488,0.009832582,0.00001915437,0.0001269585,0.000005847604,0.00001728601,0.00003260763,0.00001361901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7350716,"threshold_uncertainty_score":0.8307784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08871022025056283,"score_gpt":0.2491883258947206,"score_spread":0.1604781056441577,"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."}}