{"id":"W2019759793","doi":"10.1115/fedsm-icnmm2010-30176","title":"Nanofluidics Meets Plasmonics: Flow-Through Surface-Based Sensing","year":2010,"lang":"en","type":"article","venue":"","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Nanofluidics; Plasmon; Nanophotonics; Nanotechnology; Materials science; Biosensor; Nanostructure; Analyte; Surface plasmon; Microfluidics; Metamaterial; Optoelectronics; Chemistry","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":[0.0006739149,0.0004436306,0.0004817409,0.0003588988,0.0003640654,0.001055095,0.000433957,0.001103278,0.001553104],"category_scores_gemma":[0.0007652321,0.0002994282,0.0002658901,0.0002785451,0.0008180899,0.002089322,0.0004948869,0.0005895366,0.00064112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007062276,"about_ca_system_score_gemma":0.0004600866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004940394,"about_ca_topic_score_gemma":0.0004722556,"domain_scores_codex":[0.9995572,0.00005041061,0.00001774133,0.00009066999,0.0002454403,0.0000385207],"domain_scores_gemma":[0.9998088,0.00007736569,0.00003855539,0.00002024794,0.00004025954,0.00001476887],"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":[0.00007154413,0.00005929757,0.0002695436,0.0004618608,0.0000111139,0.00005725059,0.00008811911,0.001378665,0.9361063,0.01726971,0.0007211932,0.04350535],"study_design_scores_gemma":[0.00003140257,0.0002865691,0.0007433818,0.000046986,0.00002127237,0.0004855821,0.00004900039,0.03006087,0.9199799,0.01649485,0.03175177,0.00004843789],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2329088,0.02952191,0.7077155,0.0031206,0.0006807097,0.0004937851,0.0005965714,0.002385181,0.02257686],"genre_scores_gemma":[0.6506144,0.01058431,0.3272873,0.001047331,0.000220827,0.000247478,0.0002755738,0.0001413699,0.009581345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001553104,"threshold_uncertainty_score":0.005195677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441520857500601,"score_gpt":0.2341311122999163,"score_spread":0.2197159037249102,"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."}}