{"id":"W3102177051","doi":"","title":"Low-loss surface modes and lossy hybrid modes in metamaterial waveguides","year":2016,"lang":"en","type":"article","venue":"","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates - Technology Futures; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Metamaterial; Dielectric; Cladding (metalworking); Materials science; Lossy compression; Optics; Dielectric loss; Waveguide; Electric field; Attenuation; Optoelectronics; Physics; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001416176,0.0002628351,0.0001517615,0.0001341042,0.0001188547,0.0003466247,0.0001933376,0.0002378429,0.0004480507],"category_scores_gemma":[0.0001769428,0.0001707668,0.0001407324,0.0001234112,0.0004925862,0.000320916,0.0003536946,0.0002865671,0.0001871175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001705233,"about_ca_system_score_gemma":0.0001219896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001912749,"about_ca_topic_score_gemma":0.000331307,"domain_scores_codex":[0.9999248,0.00001219539,0.000003497807,0.0000141506,0.00002791799,0.00001755886],"domain_scores_gemma":[0.9998317,0.00005624111,0.0000476667,0.00002658016,0.00001757015,0.0000202445],"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":[0.00005362073,0.000008517424,0.0002595303,0.00002914972,0.000003062657,0.00004430624,0.00005069307,0.0007298904,0.9958797,0.001755614,0.00002648881,0.001159484],"study_design_scores_gemma":[0.00002307258,0.0001500662,0.0008590044,0.000006083236,0.000005587463,0.0001324822,0.00004402998,0.009939277,0.9872115,0.0007118338,0.0009078784,0.00000917362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986379,0.0001863347,0.01187376,0.00002337762,0.00000623853,0.000008164178,0.00002547398,0.000066284,0.001431412],"genre_scores_gemma":[0.99082,0.00009978911,0.008238552,0.000009350868,0.000002672039,0.00001284428,0.00002588867,0.00001349486,0.0007774864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004480507,"threshold_uncertainty_score":0.001498878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695241651082006,"score_gpt":0.2477005930933205,"score_spread":0.2307481765825004,"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."}}