{"id":"W2784875985","doi":"10.1039/c7lc01193h","title":"Fluorescence in sub-10 nm channels with an optical enhancement layer","year":2018,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Public Health","funders":"Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Fluorescence; Layer (electronics); Optoelectronics; Materials science; Optics; Nanotechnology; 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":[0.000362157,0.0005559495,0.0002857336,0.000211591,0.0001917185,0.0003787446,0.0007282509,0.0004505021,0.001643704],"category_scores_gemma":[0.0003396222,0.000376607,0.0002742695,0.0001567362,0.0003803504,0.0006479803,0.0004183948,0.0008276887,0.0008307501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007654498,"about_ca_system_score_gemma":0.0005522096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006476602,"about_ca_topic_score_gemma":0.001257354,"domain_scores_codex":[0.9998296,0.00001412725,0.00001006739,0.00005591776,0.00005406973,0.00003609513],"domain_scores_gemma":[0.9997057,0.0001254925,0.00007281541,0.00003507523,0.00004004464,0.00002079602],"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":[0.00002734379,0.00001636406,0.00006415208,0.00003381328,0.000002902608,0.00003087655,0.0000208692,0.0001459782,0.9980707,0.0003454839,0.00008270579,0.001158897],"study_design_scores_gemma":[0.000009787988,0.00004895917,0.0002415144,0.00000372753,0.000005643004,0.00006630844,0.000006637338,0.002419491,0.9945396,0.0001088291,0.00254191,0.000007617878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8873777,0.001106237,0.1020142,0.0003039665,0.0001039276,0.0001342835,0.0004116754,0.001813769,0.006734255],"genre_scores_gemma":[0.8068133,0.001295831,0.1822663,0.0002855225,0.00003216254,0.0003953257,0.0003734308,0.0002189609,0.008319163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001643704,"threshold_uncertainty_score":0.005553722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0164971276562763,"score_gpt":0.2309090080609163,"score_spread":0.21441188040464,"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."}}