{"id":"W2077937112","doi":"10.1364/ipnra.2007.itub1","title":"Simulation of Surface Plasmon Polariton (SPP) Bragg Gratings by Complex Mode Matching Method","year":2007,"lang":"en","type":"article","venue":"","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Surface plasmon polariton; Grating; Polariton; Optics; Surface plasmon; Materials science; Reflection (computer programming); Plasmon; Fiber Bragg grating; Transmission (telecommunications); Waveguide; Optoelectronics; Physics; Computer science; Wavelength; Telecommunications","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":[0.0002423865,0.0005667271,0.0006312008,0.0004245386,0.0003191358,0.0004662861,0.0009304034,0.001127968,0.003722425],"category_scores_gemma":[0.000790804,0.000357513,0.0003696296,0.0005925459,0.0002963078,0.000425404,0.0002220195,0.000407236,0.0003524129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006267181,"about_ca_system_score_gemma":0.0007479488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008599556,"about_ca_topic_score_gemma":0.003379487,"domain_scores_codex":[0.9998357,0.00004003893,0.000006122498,0.00001922779,0.0000627618,0.00003603481],"domain_scores_gemma":[0.9995899,0.0002217989,0.00003423451,0.00003605176,0.00009425356,0.00002386515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005890146,0.00005364231,0.0005327165,0.00006894177,0.00002420617,0.00008664388,0.00004678386,0.9806605,0.01115977,0.003561308,0.0005325837,0.003213902],"study_design_scores_gemma":[0.000009242502,0.000009929223,0.0000867634,0.000001523062,0.000002122091,0.000007864435,0.000005991443,0.997942,0.001462405,0.0002359536,0.0002328804,0.000003177737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6234099,0.0004054371,0.329666,0.0004090668,0.0001314986,0.0002038833,0.001630405,0.002027783,0.04211616],"genre_scores_gemma":[0.9345209,0.0001591081,0.05994772,0.00007026959,0.0000135734,0.0002248464,0.0005631408,0.0002441215,0.004256323],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008599556,"threshold_uncertainty_score":0.01709896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02390667821154709,"score_gpt":0.3234132246960768,"score_spread":0.2995065464845297,"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."}}