{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005036062,0.0007485796,0.0004642752,0.0006628875,0.0002871378,0.0007337183,0.0006484341,0.0007294999,0.001369619],"category_scores_gemma":[0.001090428,0.0005034251,0.0005037342,0.0008667045,0.0005301835,0.0007901513,0.0007587294,0.0004430345,0.0005756966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007645171,"about_ca_system_score_gemma":0.0003609468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008212778,"about_ca_topic_score_gemma":0.0008692949,"domain_scores_codex":[0.9992043,0.0001644615,0.00002538987,0.0001221625,0.0003881776,0.00009553149],"domain_scores_gemma":[0.9989293,0.0003929419,0.0002112496,0.0001654585,0.0002464342,0.00005459437],"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":[0.0009607614,0.0001937295,0.004976627,0.0001858089,0.0001472971,0.0002797592,0.00039846,0.06002506,0.9006135,0.01005598,0.0005525967,0.02161042],"study_design_scores_gemma":[0.00005119585,0.0004595953,0.007874774,0.00002782926,0.0001481035,0.0003980183,0.0002874922,0.3707189,0.6157363,0.001809746,0.002422811,0.00006527094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8052955,0.0002399191,0.1823076,0.0001485947,0.00002444902,0.00003961506,0.0001469512,0.0006584649,0.0111389],"genre_scores_gemma":[0.9832885,0.00007533491,0.01478947,0.00003319613,0.000005629142,0.00001867291,0.00007813886,0.00005489189,0.001656305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001369619,"threshold_uncertainty_score":0.005546987,"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."}}