{"id":"W2949224026","doi":"10.1021/acsanm.9b00606","title":"Entropic Trapping of DNA with a Nanofiltered Nanopore","year":2019,"lang":"en","type":"article","venue":"ACS Applied Nano Materials","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; University of Ottawa","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Government of Canada","keywords":"Nanopore; Trapping; Nanotechnology; Polymer; Nanodevice; Chemical physics; DNA; Molecule; Kinetics; Nanoscopic scale; Nanoreactor; Chemistry; Gyration; Radius of gyration; Materials science; Nanoparticle; Physics; Biology","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":[0.0001741978,0.0001703145,0.00016649,0.0001351576,0.0001878746,0.0002123894,0.0004065206,0.0004267305,0.0002771745],"category_scores_gemma":[0.0002450826,0.0001037451,0.0002217352,0.00007504598,0.0003302767,0.0004283627,0.0002394683,0.000282973,0.00008647697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002768367,"about_ca_system_score_gemma":0.000214772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005336318,"about_ca_topic_score_gemma":0.0008100974,"domain_scores_codex":[0.999874,0.00001393363,0.00001014837,0.00004473725,0.00003782742,0.00001936145],"domain_scores_gemma":[0.9998176,0.00006566304,0.00005003911,0.00002535803,0.00001936797,0.00002202907],"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":[0.00001017138,0.0000127696,0.00006409342,0.00001695874,0.000002681556,0.00001774527,0.00001482249,0.0002470231,0.9984549,0.000170847,0.00001556331,0.0009723546],"study_design_scores_gemma":[0.000005703838,0.0001512403,0.0005738061,0.000002735889,0.000004354586,0.00007674706,0.000007587531,0.004115636,0.9939674,0.00004983706,0.001033348,0.00001149151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714831,0.0005382881,0.02689732,0.00008698356,0.00003566212,0.00003219887,0.0001221773,0.0001565721,0.000647684],"genre_scores_gemma":[0.9350491,0.0003539549,0.06284813,0.00007951468,0.00001385404,0.00005644121,0.000188626,0.00002186303,0.00138856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005336318,"threshold_uncertainty_score":0.002008557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005369905544877669,"score_gpt":0.16667563633017,"score_spread":0.1613057307852924,"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."}}