{"id":"W3129389570","doi":"10.1021/acsnano.0c06136","title":"DNA Nanostructures: Current Challenges and Opportunities for Cellular Delivery","year":2021,"lang":"en","type":"review","venue":"ACS Nano","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":182,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; Fonds de recherche du Québec – Nature et technologies; Canada Council for the Arts; Cancer Research Society","keywords":"Nanotechnology; Drug delivery; Synthetic biology; Computer science; DNA nanotechnology; DNA; Biochemical engineering; Computational biology; Materials science; Biology; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001404081,0.0004002876,0.0008859996,0.00008806194,0.00008984483,0.00003203436,0.0001815522,0.0004355396,7.065924e-7],"category_scores_gemma":[0.00006002826,0.0002832454,0.0004042372,0.00004336739,0.0001098429,0.000002926295,0.0001964548,0.0001161078,3.70795e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001573516,"about_ca_system_score_gemma":0.000169728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.386154e-7,"about_ca_topic_score_gemma":0.00000399224,"domain_scores_codex":[0.9986053,0.0001031791,0.0003365893,0.0006053242,0.0001032972,0.0002463385],"domain_scores_gemma":[0.999055,0.00003533202,0.0002252482,0.0004657197,0.0001418905,0.00007685558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003385278,0.00001762661,3.229308e-8,0.002818092,0.0001738478,0.000006611036,0.000005836692,6.914465e-9,0.003564977,0.0001047161,0.001208607,0.9920962],"study_design_scores_gemma":[0.00007476271,0.00009758063,4.345565e-8,0.002004835,0.0005425139,0.00003334893,0.00004273954,1.49949e-7,0.02697721,0.00005241476,0.9697965,0.0003779441],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000114148,0.9990215,0.00009840061,0.00004571333,0.0001633209,0.0003112432,0.0001536346,0.00002778173,0.00006425716],"genre_scores_gemma":[0.0002306457,0.9965373,0.000721045,0.00004940622,0.0003295549,0.00005663983,0.001492579,0.00005054273,0.0005322695],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9917183,"threshold_uncertainty_score":0.999962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08936039180717884,"score_gpt":0.3317537902553934,"score_spread":0.2423933984482145,"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."}}