{"id":"W2766090071","doi":"10.1021/acs.nanolett.7b03987","title":"DNA Translocations through Nanopores under Nanoscale Preconfinement","year":2017,"lang":"en","type":"article","venue":"Nano Letters","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; University of Ottawa","funders":"Division of Industrial Innovation and Partnerships; National Institute of Biomedical Imaging and Bioengineering; Natural Sciences and Engineering Research Council of Canada","keywords":"Nanopore; Nanoscopic scale; Nanotechnology; Nanopore sequencing; DNA; Materials science; Intramolecular force; Nanoporous; Silicon nitride; Molecule; Chemistry; DNA sequencing; Stereochemistry","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":[0.0001823591,0.000168845,0.0001985099,0.00009398201,0.0002052363,0.0002800013,0.0002123317,0.0001962429,0.0003242748],"category_scores_gemma":[0.0005060712,0.0001088209,0.0001347951,0.00007997436,0.0004128715,0.0004106434,0.0002417117,0.0003205735,0.0000971682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004317943,"about_ca_system_score_gemma":0.0003033376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009801297,"about_ca_topic_score_gemma":0.00137734,"domain_scores_codex":[0.9998633,0.00001224064,0.000007907452,0.00003693441,0.00004376618,0.0000359501],"domain_scores_gemma":[0.9996845,0.0001213013,0.00009583314,0.0000339785,0.00003479035,0.00002965071],"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":[0.00002638968,0.000009051101,0.0001462647,0.0000166053,0.000002797554,0.0000302892,0.00003300469,0.0006206649,0.9982022,0.0001951881,0.00001608977,0.000701279],"study_design_scores_gemma":[0.000006179824,0.00007485154,0.0008390517,0.000001800326,0.000002864303,0.00003374901,0.00001972992,0.004139537,0.9943891,0.0000659334,0.0004213649,0.000005902855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958234,0.00008226671,0.003717471,0.0000286179,0.00000742538,0.00000608762,0.00002603946,0.00004684864,0.0002617592],"genre_scores_gemma":[0.9971977,0.00007260366,0.002389843,0.00001578992,0.000004555276,0.00001072369,0.00003789168,0.00001087627,0.000259932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009801297,"threshold_uncertainty_score":0.00313288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0200120786991722,"score_gpt":0.2340786772833663,"score_spread":0.2140665985841941,"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."}}