{"id":"W2156406991","doi":"10.1364/ol.34.000350","title":"Surface plasmon polariton discrete diffraction compensation","year":2009,"lang":"en","type":"article","venue":"Optics Letters","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Optics; Surface plasmon polariton; Diffraction; Surface plasmon; Waveguide; Materials science; Refractive index; Excitation; Compensation (psychology); Wavelength; Polariton; Diffraction efficiency; Plasmon; Optoelectronics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000479442,0.0001067984,0.000100204,0.00002532625,0.00004499735,0.00005256133,0.00007317721,0.00005483393,0.00001467535],"category_scores_gemma":[0.000006574451,0.0001067582,0.0000356095,0.00007391658,0.00001643025,0.0001859342,0.000006008171,0.0001616241,0.00006593252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005948533,"about_ca_system_score_gemma":0.000002480916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008156833,"about_ca_topic_score_gemma":0.000002699955,"domain_scores_codex":[0.9994454,0.000009002035,0.000123104,0.0001044586,0.0001271407,0.0001909024],"domain_scores_gemma":[0.9997541,0.0000349094,0.00001784799,0.0001268874,0.000009155064,0.00005710299],"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":[0.00001915351,0.00003065186,0.0005346995,0.00003628174,0.00003273811,0.00001764063,0.0001771551,0.2193448,0.7725129,0.00433587,0.001343973,0.001614215],"study_design_scores_gemma":[0.0003934401,0.00005837968,0.04292519,0.00003937815,0.0000371529,0.00000851,0.00003980319,0.9229496,0.02897944,0.0002167564,0.003949314,0.0004030793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785643,0.00004485707,0.008916655,0.001779208,0.0003206076,0.00007882709,0.000003950846,0.0002162333,0.01007531],"genre_scores_gemma":[0.9949313,0.00004533509,0.004122196,0.0007775308,0.00006116568,7.407889e-7,0.00002090111,0.00001298729,0.00002787218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7435334,"threshold_uncertainty_score":0.4353475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007912299012125592,"score_gpt":0.2149734386899715,"score_spread":0.2070611396778459,"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."}}