{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007001795,0.0002451709,0.0002456275,0.00005686685,0.0005202366,0.0000744502,0.0003728354,0.00008182239,0.000155557],"category_scores_gemma":[0.00000609771,0.0002342321,0.0001270148,0.00006348694,0.0001274669,0.0002724452,0.0000201412,0.0000921448,0.00008410354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004156422,"about_ca_system_score_gemma":0.00001328173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007665286,"about_ca_topic_score_gemma":0.000186166,"domain_scores_codex":[0.9988816,0.000007263446,0.0002678904,0.0002506416,0.0001969582,0.00039559],"domain_scores_gemma":[0.9992591,0.0000238604,0.0000545099,0.0005761752,0.00002799401,0.00005839396],"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":[0.0000153718,0.00007828262,0.001536019,0.0001658277,0.0003716557,0.00002419953,0.001689597,0.003242753,0.9282186,0.001480118,0.06128274,0.001894853],"study_design_scores_gemma":[0.00189621,0.00007144218,0.02320395,0.0001776312,0.0001863072,0.00001007524,0.0001865041,0.0001391416,0.7369783,0.0005975244,0.2354643,0.001088543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494683,0.001306468,0.01283975,0.01729092,0.002835881,0.0006411676,0.00008186287,0.0007440166,0.0147917],"genre_scores_gemma":[0.9971455,0.0003606248,0.000784586,0.0009230005,0.0001858845,0.00008538848,0.00002173087,0.0000485457,0.000444706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1912403,"threshold_uncertainty_score":0.9551708,"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."}}