{"id":"W2105060083","doi":"10.6000/1929-5995.2013.02.04.2","title":"Electromagnetic Modeling of Dielectric Mixtures","year":2013,"lang":"en","type":"article","venue":"Journal of Research Updates in Polymer Science","topic":"Photonic Crystals and Applications","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dielectric; Permittivity; Materials science; Electromagnetic radiation; Electromagnetic field; Dielectric permittivity; Work (physics); Computational electromagnetics; Composite material; Acoustics; Mechanical engineering; Optics; Optoelectronics; Physics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001169501,0.00005746738,0.000134845,0.0005134201,0.0001122543,0.0000790344,0.0006924551,0.00001385073,0.0002848541],"category_scores_gemma":[0.00003476628,0.00004372217,0.00004782797,0.001630009,0.0003221584,0.0003669719,0.00009177997,0.0003489113,0.000006208305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003259808,"about_ca_system_score_gemma":0.0004528564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005218463,"about_ca_topic_score_gemma":0.000001736561,"domain_scores_codex":[0.9984728,0.00004300731,0.0003252951,0.0001244843,0.0006281747,0.0004062326],"domain_scores_gemma":[0.9990441,0.0001004955,0.0001123601,0.0001788868,0.0004490615,0.0001151491],"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":[0.000009309412,0.0002010933,0.00287179,0.000006821746,0.000009816436,0.000001125479,0.0002069657,0.0001355572,0.9636075,0.01624544,0.0003242202,0.01638033],"study_design_scores_gemma":[0.0003598273,0.0003081012,0.001472248,0.0000663068,0.000005007007,0.000009456733,0.0004515623,0.09826038,0.8505112,0.04835425,0.00008535051,0.0001163324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916369,0.002248424,0.0007951893,0.000441247,0.00002536793,0.00009994048,0.000001513952,0.000001659028,0.004749791],"genre_scores_gemma":[0.9993973,0.00004044013,0.0003984943,0.000008335492,0.00005470985,0.0000103225,2.781395e-7,0.000004020294,0.00008603439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1130964,"threshold_uncertainty_score":0.3118953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043257468474343,"score_gpt":0.3432809011594978,"score_spread":0.3228483264747544,"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."}}