{"id":"W2150860749","doi":"10.1364/josaa.23.001757","title":"Theoretical performance of Bragg gratings based on long-range surface plasmon-polariton waveguides","year":2006,"lang":"en","type":"article","venue":"Journal of the Optical Society of America A","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Department of National Defence; Defence Research and Development Canada","funders":"","keywords":"Optics; Materials science; Apodization; Grating; Wavelength; Surface plasmon polariton; Fiber Bragg grating; Optoelectronics; Plasmon; Surface plasmon; Physics","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":[0.0004302555,0.0004881214,0.0002825056,0.0002570231,0.0002049133,0.0005317215,0.0004663199,0.000473545,0.0008579914],"category_scores_gemma":[0.0008878337,0.0002180287,0.0002221023,0.000199433,0.0006482073,0.0004196339,0.0002266674,0.0001941673,0.0003046679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000980855,"about_ca_system_score_gemma":0.0002525951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220777,"about_ca_topic_score_gemma":0.0007646289,"domain_scores_codex":[0.999792,0.00003076668,0.000005232887,0.00002087651,0.000109212,0.00004187857],"domain_scores_gemma":[0.9996933,0.000168088,0.0000425152,0.00002774444,0.0000461206,0.00002227388],"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":[0.0003501441,0.00008111788,0.003186435,0.000253193,0.00005265515,0.0001972779,0.0001091099,0.6434757,0.2681938,0.0701592,0.0004906825,0.01345075],"study_design_scores_gemma":[0.00002633795,0.0001928151,0.001544202,0.00001531944,0.00001973255,0.00007948723,0.00002331744,0.9338248,0.05717365,0.006480439,0.0006010314,0.00001881373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.870235,0.001335828,0.10005,0.0002042032,0.00003812376,0.00003027402,0.0001180472,0.0004690604,0.02751942],"genre_scores_gemma":[0.9914415,0.0003195453,0.007265084,0.00001381527,0.000006261562,0.0000107624,0.00004794046,0.00002331825,0.0008716322],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001220777,"threshold_uncertainty_score":0.007116616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003851331376955288,"score_gpt":0.1927712229299501,"score_spread":0.1889198915529948,"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."}}