{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001177715,0.0002005589,0.000186869,0.00003602736,0.00009927429,0.0000632042,0.0001149228,0.0001303699,0.0002253658],"category_scores_gemma":[0.0000290412,0.0001899702,0.0000409635,0.0001328224,0.0001145358,0.000278421,0.00002567314,0.0002104574,0.0002055038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008820616,"about_ca_system_score_gemma":0.00002726181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006900439,"about_ca_topic_score_gemma":7.56111e-7,"domain_scores_codex":[0.9986681,0.00003773776,0.0001780876,0.0001697008,0.0002782954,0.0006681284],"domain_scores_gemma":[0.9994095,0.00009883231,0.00001954592,0.0001692649,0.00001912288,0.0002837347],"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":[0.00001707953,0.000008938235,0.01717336,0.00004609844,0.00006331912,0.00001966673,0.0004864298,0.0004614402,0.9609329,0.0004050879,0.02000665,0.0003790843],"study_design_scores_gemma":[0.001493472,0.00004507412,0.008521996,0.00004769567,0.00003813787,0.0001959302,0.0003315474,0.002789431,0.8758533,0.00001371258,0.1099646,0.0007051261],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941663,0.00252668,0.00009055856,0.0008315747,0.0006795278,0.0001902887,0.00002150224,0.0001886242,0.001304902],"genre_scores_gemma":[0.9976752,0.0003952467,0.000882076,0.000838043,0.00005158274,0.0000114978,0.0000131626,0.00003165384,0.0001015355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08995794,"threshold_uncertainty_score":0.7746762,"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."}}