{"id":"W2588196288","doi":"10.1007/978-94-024-0850-8_28","title":"Metal-Enhanced Fluorescence in Plasmonic Waveguides","year":2017,"lang":"en","type":"book-chapter","venue":"NATO science for peace and security series. B, Physics and biophysics","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Plasmon; Materials science; Nanoparticle; Nanotechnology; Plasmonic nanoparticles; Particle (ecology); Surface plasmon; Fabrication; Localized surface plasmon; Optics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004343003,0.0003742379,0.0005339311,0.00006727126,0.0009085313,0.0005111782,0.000567059,0.0001542509,0.00001224814],"category_scores_gemma":[0.00003269603,0.0003261431,0.0001137907,0.00007715324,0.001676916,0.0008472614,0.0002793178,0.0002067904,0.00001706759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004506635,"about_ca_system_score_gemma":0.000221123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004965892,"about_ca_topic_score_gemma":0.00007252458,"domain_scores_codex":[0.9978788,0.000008572524,0.0003351389,0.0008813488,0.0004083731,0.0004877033],"domain_scores_gemma":[0.9987082,0.00006402135,0.0003040383,0.0005436074,0.0002037491,0.0001764081],"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":[0.0000252654,0.00004738608,0.000007544003,0.00007415473,0.000005229932,0.000001380146,0.0005075628,0.00000100049,0.6003075,0.392301,0.00005371493,0.006668272],"study_design_scores_gemma":[0.0003232052,0.0001432438,0.00006606417,0.0001820137,0.00005162713,0.000002976501,0.0001032328,0.0004655992,0.7492026,0.2396881,0.009199885,0.0005714341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782547,0.000907714,0.00005407619,0.0003583547,0.0002988483,0.0008859044,0.0004659749,0.00006183634,0.01871258],"genre_scores_gemma":[0.9927546,0.001288022,0.0003311474,0.00004551385,0.0001676466,0.00005016281,0.00001603076,0.00002719087,0.005319646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1526128,"threshold_uncertainty_score":0.9999191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193596029171147,"score_gpt":0.251809109181089,"score_spread":0.2324495062639743,"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."}}