{"id":"W2766685155","doi":"10.1201/9781315374581-27","title":"Surface Plasmon–Enhanced Nanohole Arrays for Biosensing","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Biosensor; Materials science; Surface plasmon; Plasmon; Nanotechnology; Surface plasmon resonance; Localized surface plasmon; Surface (topology); Optics; Optoelectronics; Physics; Nanoparticle; Geometry","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":[0.0001462874,0.0007949951,0.0005095996,0.0004862475,0.0002372513,0.0008820178,0.001084332,0.0009249142,0.01482262],"category_scores_gemma":[0.0001583799,0.0004617856,0.000268218,0.0006862904,0.0004266617,0.002232645,0.0007678866,0.001277214,0.009146716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004397373,"about_ca_system_score_gemma":0.0002114777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001773782,"about_ca_topic_score_gemma":0.0004987533,"domain_scores_codex":[0.9998448,0.000009583804,0.000004479462,0.00003357227,0.00009404036,0.00001345681],"domain_scores_gemma":[0.9999552,0.00001792586,0.000003288995,0.0000065678,0.00001381772,0.000003214252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004563313,0.00008740008,0.00003858415,0.001383557,0.00002469336,0.0001448203,0.0001430144,0.001835127,0.2519736,0.1174512,0.08277548,0.5440969],"study_design_scores_gemma":[0.000006062717,0.00003214799,0.00008798295,0.00009370123,0.00001033418,0.0003409297,0.00002789275,0.003594274,0.07972966,0.02776762,0.8882868,0.00002268976],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008709761,0.2196899,0.3202529,0.002929254,0.008237149,0.0001924131,0.0004912015,0.002651026,0.4368465],"genre_scores_gemma":[0.05093781,0.1138736,0.1352104,0.002595778,0.001872486,0.0002075344,0.000656563,0.0009467535,0.6936991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01482262,"threshold_uncertainty_score":0.04958665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03426944168092043,"score_gpt":0.260288726534801,"score_spread":0.2260192848538805,"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."}}