{"id":"W2279478471","doi":"10.1021/acs.macromol.5b02240","title":"Nonequilibrium Dynamics of Nanochannel Confined DNA","year":2016,"lang":"en","type":"article","venue":"Macromolecules","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Japan Society for the Promotion of Science; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Non-equilibrium thermodynamics; Molecular dynamics; Dynamics (music); DNA; Chemical physics; Statistical physics; Chemistry; Nanotechnology; Materials science; Physics; Computational chemistry; Thermodynamics","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":[0.00005897497,0.0001786433,0.0002660854,0.00008688087,0.00002904159,0.000004959812,0.0001573795,0.00007152894,0.00007850542],"category_scores_gemma":[0.00001038181,0.0001291742,0.00009599543,0.0001408501,0.00009867943,0.00005778262,0.00002802871,0.00003809158,0.00003739296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002720497,"about_ca_system_score_gemma":0.00001051844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001030583,"about_ca_topic_score_gemma":0.00005369542,"domain_scores_codex":[0.999156,0.000008223957,0.0002653511,0.0001545353,0.0001361162,0.0002797807],"domain_scores_gemma":[0.9996052,0.00003937478,0.00003496528,0.0002107581,0.00005421399,0.00005543254],"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":[0.00003597584,0.00004608422,0.0008349681,0.0002063867,0.0001981086,0.00005845418,0.0002620911,0.0001285869,0.9853965,0.005082659,0.001203395,0.006546768],"study_design_scores_gemma":[0.0009784355,0.0001100811,0.001069235,0.0001729077,0.00004830406,0.00001270914,0.00008930833,0.001291608,0.9918602,0.001602799,0.0023353,0.0004291429],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618058,0.0009268446,0.02584364,0.0004274417,0.0005922959,0.0001804082,0.0002671183,0.0004019556,0.009554542],"genre_scores_gemma":[0.9988911,0.0002572777,0.0002655274,0.00001414468,0.00004398731,0.00001313795,0.00001506532,0.00003995057,0.0004598134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03708535,"threshold_uncertainty_score":0.5267572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007063567422122933,"score_gpt":0.1894457690994319,"score_spread":0.182382201677309,"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."}}