{"id":"W2013317591","doi":"10.1364/fio.2011.ftuj1","title":"Optofluidic Nanostructures for Concentration and Sensing","year":2011,"lang":"en","type":"article","venue":"","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Electrohydrodynamics; Nanostructure; Nanofluidics; Materials science; Nanotechnology; Analyte; Optofluidics; Nanosensor; Nanophotonics; Microfluidics; Nanolithography; Plasmon; Streaming current; Optoelectronics; Biosensor; Electric field; Fabrication; Physics; Chemistry; Electrokinetic phenomena","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":[0.0003406623,0.0003774247,0.0002192434,0.0002658767,0.0002717919,0.0005057527,0.0006065348,0.0005854364,0.0006146354],"category_scores_gemma":[0.0005143686,0.0001777646,0.0001542776,0.0001560017,0.0004048155,0.0006759256,0.0004492581,0.0005755356,0.0003289936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003416981,"about_ca_system_score_gemma":0.000295457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003413852,"about_ca_topic_score_gemma":0.0007731402,"domain_scores_codex":[0.9996259,0.00002969836,0.0000206499,0.00006414931,0.0002301294,0.00002947947],"domain_scores_gemma":[0.9998782,0.00004277194,0.00002473451,0.00001417859,0.00002889731,0.00001123663],"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":[0.00001360005,0.00001088151,0.00006390139,0.00004803721,0.000001975491,0.00002689927,0.00002032825,0.0002046776,0.9896601,0.003713206,0.0002286239,0.00600764],"study_design_scores_gemma":[0.000006519337,0.00004564099,0.0001683716,0.000007581627,0.000004636103,0.0001175001,0.000007344315,0.002487836,0.9869941,0.001057175,0.00909372,0.000009662229],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.573817,0.03006742,0.3434557,0.004014331,0.001453915,0.0004273122,0.001001293,0.001189559,0.04457345],"genre_scores_gemma":[0.7692906,0.008786864,0.2130539,0.0009353625,0.0002971669,0.0002203732,0.0002412566,0.00004978023,0.007124762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006146354,"threshold_uncertainty_score":0.002479196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228144734083553,"score_gpt":0.1896202449580875,"score_spread":0.177338797617252,"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."}}