{"id":"W2460742668","doi":"10.1007/s11468-016-0312-4","title":"Optimization of Surface Plasmon Resonance Biosensor with Ag/Au Multilayer Structure and Fiber-Optic Miniaturization","year":2016,"lang":"en","type":"article","venue":"Plasmonics","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Surface plasmon resonance; Miniaturization; Materials science; Biosensor; Refractive index; Surface plasmon; Wavelength; Optoelectronics; Optical fiber; Plasmon; Fiber optic sensor; Optics; Fiber; Nanotechnology; Nanoparticle","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":[0.0004409678,0.000872538,0.0005795877,0.0003069355,0.0003108354,0.0005409427,0.0005475312,0.0004736919,0.0004238173],"category_scores_gemma":[0.0005839181,0.0004353875,0.0004203984,0.0003270448,0.0002090477,0.0005412506,0.0003071873,0.000349222,0.0002426348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007418829,"about_ca_system_score_gemma":0.0004374142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001172302,"about_ca_topic_score_gemma":0.002337555,"domain_scores_codex":[0.99964,0.0000361835,0.00002832123,0.00009404441,0.0001424692,0.00005893675],"domain_scores_gemma":[0.9998137,0.0000384351,0.00004794706,0.00002011474,0.00006408645,0.00001568285],"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":[0.00002582286,0.00002202323,0.0001159067,0.00003976802,0.000007264964,0.00001455026,0.00001300671,0.0005115054,0.9977451,0.00009237705,0.00004246,0.001370152],"study_design_scores_gemma":[0.00000657642,0.000098139,0.0007107884,0.000002398068,0.00001928583,0.00002695003,0.00001249121,0.006572484,0.9917944,0.00002307404,0.000726966,0.00000644096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9603901,0.00148341,0.03519192,0.0002381421,0.0001009012,0.000102672,0.0001533683,0.0003362329,0.002003276],"genre_scores_gemma":[0.9569148,0.0007132135,0.04108214,0.00004308186,0.00002360639,0.0001035526,0.000126232,0.00004625867,0.0009471274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001172302,"threshold_uncertainty_score":0.005382776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005704121250366075,"score_gpt":0.1895399137816011,"score_spread":0.183835792531235,"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."}}