{"id":"W2790986089","doi":"10.1002/adhm.201701049","title":"DNA Nanotubes with Hydrophobic Environments: Toward New Platforms for Guest Encapsulation and Cellular Delivery","year":2018,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"DNA origami; Nanotechnology; Supramolecular chemistry; DNA nanotechnology; DNA; Polymer; Materials science; Nanostructure; Nanotube; Drug delivery; Base pair; Biophysics; Molecule; Self-assembly; Carbon nanotube; Chemistry; Biology; Biochemistry","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":[0.000119108,0.0002143243,0.0002471051,0.00004364688,0.0001587444,0.00002694411,0.00008528312,0.0001612477,0.000003258087],"category_scores_gemma":[0.00002085399,0.0001520717,0.00003570415,0.00005469748,0.000136085,0.00001760538,0.00005595295,0.0000327321,0.000002714454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000296213,"about_ca_system_score_gemma":0.00004530311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005181209,"about_ca_topic_score_gemma":0.0000608442,"domain_scores_codex":[0.998831,0.00002197927,0.0002772612,0.0004667291,0.0001075857,0.0002954075],"domain_scores_gemma":[0.9993671,0.000009500534,0.00015655,0.0002857903,0.00006717259,0.000113933],"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":[0.0004348837,0.00001406965,0.00005710028,0.00004417819,0.00002506746,0.000001118796,0.00003912606,0.00000123681,0.9948934,0.00003885747,0.00007550901,0.004375399],"study_design_scores_gemma":[0.0005488988,0.001259078,0.0001180917,0.00005182985,0.00002545446,0.000009756815,0.00005879219,0.000004759157,0.9814346,0.0005821629,0.01567063,0.0002359643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924579,0.000331632,0.006164879,0.0003045834,0.0001696375,0.0004540663,0.00006980336,0.00003823818,0.000009254596],"genre_scores_gemma":[0.9803338,0.0005701097,0.01729791,0.000401756,0.0006540362,0.00002909775,0.0004399243,0.00003476865,0.000238611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01559512,"threshold_uncertainty_score":0.6201303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286741149582605,"score_gpt":0.2634693865460789,"score_spread":0.2506019750502529,"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."}}