{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003579023,0.0003860777,0.0002451894,0.0002676912,0.000197906,0.0004430269,0.0002904423,0.0006223894,0.0006638722],"category_scores_gemma":[0.0002481231,0.0002744047,0.0001795739,0.0001266515,0.0004662192,0.001030657,0.0004823033,0.0004916912,0.0006089006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004988337,"about_ca_system_score_gemma":0.0002754206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001625199,"about_ca_topic_score_gemma":0.0003193957,"domain_scores_codex":[0.9998713,0.00002965026,0.000007199071,0.00002636067,0.00004497017,0.00002064106],"domain_scores_gemma":[0.9998777,0.00003381443,0.00003525695,0.00001032085,0.00001654172,0.00002630604],"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":[0.00004445055,0.00003611141,0.000107608,0.0001651669,0.000006649323,0.00011279,0.00005826794,0.0006197784,0.9820034,0.005019079,0.000150211,0.01167648],"study_design_scores_gemma":[0.00002369418,0.0003450004,0.0003396251,0.00002503975,0.000014256,0.0003138833,0.00002854506,0.004400129,0.9709661,0.001416498,0.02210968,0.00001761857],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7499529,0.05471449,0.1753481,0.003058386,0.0002969244,0.0004067784,0.0003096176,0.0009175386,0.01499549],"genre_scores_gemma":[0.8740505,0.02266495,0.091166,0.0006031309,0.0001963716,0.0003463214,0.0002363357,0.0001176742,0.01061875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006638722,"threshold_uncertainty_score":0.003619313,"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."}}