{"id":"W2313264300","doi":"10.1021/nl204504s","title":"Optofluidic Concentration: Plasmonic Nanostructure as Concentrator and Sensor","year":2012,"lang":"en","type":"article","venue":"Nano Letters","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick; University of Victoria","funders":"BC Cancer Agency; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Analyte; Plasmon; Materials science; Fluidics; Nanostructure; Detection limit; Concentrator; Nanotechnology; Optofluidics; Microfluidics; Biosensor; Optoelectronics; Optics; Chemistry; Chromatography; Physics","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":[0.0005291704,0.0006255652,0.0005670492,0.0004307045,0.0006197805,0.0008644093,0.00149688,0.001544698,0.0009159261],"category_scores_gemma":[0.0007235222,0.0005459459,0.0002062918,0.0004402154,0.0008941176,0.001305076,0.0008927381,0.001030308,0.0008693127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001432273,"about_ca_system_score_gemma":0.0008457095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009655125,"about_ca_topic_score_gemma":0.001593468,"domain_scores_codex":[0.999024,0.0000755062,0.00005290082,0.0002508295,0.0005540368,0.00004273724],"domain_scores_gemma":[0.9997631,0.00005374206,0.00006622463,0.00002409228,0.00007124828,0.00002159118],"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":[0.00006221285,0.00002704988,0.0001826395,0.0001388775,0.000004856769,0.00005742559,0.00003021007,0.0002476234,0.985479,0.002072904,0.0007691495,0.01092805],"study_design_scores_gemma":[0.0000281407,0.0001096366,0.0007938711,0.00002827596,0.00001502245,0.0004705296,0.00001661516,0.005172426,0.9768984,0.001378509,0.01506471,0.00002379615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3515855,0.0300293,0.5269054,0.01209562,0.00237256,0.001145601,0.001323513,0.003700447,0.07084209],"genre_scores_gemma":[0.4534745,0.007406445,0.5133868,0.003511036,0.0008739506,0.0005860917,0.0004277935,0.0001482,0.02018519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001544698,"threshold_uncertainty_score":0.01039189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007802592693008589,"score_gpt":0.2185863763796184,"score_spread":0.2107837836866099,"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."}}