{"id":"W2789434475","doi":"10.1002/2016rs006178","title":"Internal Natural Resonances Prediction Through the Theory of Characteristic Modes","year":2018,"lang":"en","type":"article","venue":"Radio Science","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Ministerio de Economía y Competitividad","keywords":"Dielectric; Cylinder; Physics; Interpretation (philosophy); Mode (computer interface); Resonance (particle physics); Permittivity; Normal mode; Computational physics; Optics; Mathematical analysis; Mathematics; Quantum mechanics; Geometry; Computer science; Vibration","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":[0.0002251417,0.00006050599,0.00007393651,0.00003268815,0.0001083181,0.00001565241,0.0003992259,0.00001737802,0.00000553093],"category_scores_gemma":[0.0001323186,0.00003647187,0.00001900727,0.0002816121,0.001453211,0.0003550679,0.00003502885,0.00009282198,0.00000527604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002596407,"about_ca_system_score_gemma":0.00001277555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002735733,"about_ca_topic_score_gemma":0.000001357387,"domain_scores_codex":[0.9994793,0.000007647852,0.00009910448,0.0001082653,0.0001486196,0.0001570818],"domain_scores_gemma":[0.9996896,0.00003746082,0.00002948977,0.0001856343,0.00004688338,0.00001094284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001816463,0.00000738478,0.0004982214,0.00001715142,0.0000108908,0.000001120585,0.001429633,0.0006946175,0.9158778,0.03310796,0.00011885,0.04821824],"study_design_scores_gemma":[0.000173983,0.0001406917,0.04437293,0.0001465324,0.00001607663,0.00004026031,0.001879792,0.1278732,0.7911537,0.02905346,0.004947191,0.0002021977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9453167,0.001472481,0.04996226,0.00004677796,0.0007757831,0.00006277073,0.000007229015,0.0002531642,0.002102843],"genre_scores_gemma":[0.9974369,0.0001785846,0.002226541,0.00001237047,0.00005469973,0.000003437168,2.160391e-7,0.00000424196,0.00008305454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1271786,"threshold_uncertainty_score":0.5354416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013822559535171,"score_gpt":0.2428671007984904,"score_spread":0.2290445412633194,"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."}}