{"id":"W4386083783","doi":"10.1002/anie.202309869","title":"Minimalist Design of Wireframe DNA Nanotubes: Tunable Geometry, Size, Chirality, and Dynamics","year":2023,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"H2020 Marie Skłodowska-Curie Actions; McGill University; Killam Trusts; Canada Council for the Arts; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"DNA origami; Nanotube; Nanotechnology; DNA nanotechnology; Modular design; DNA; Materials science; Chirality (physics); Nanoscopic scale; Biophysics; Chemistry; Carbon nanotube; Nanostructure; Computer science; Physics; Biology","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":[0.0001395593,0.0002333055,0.0002127488,0.0001341922,0.00018978,0.000277654,0.0003186894,0.0003229617,0.0004634857],"category_scores_gemma":[0.000222623,0.0001909506,0.0001711714,0.00008884407,0.0002283024,0.0002071127,0.0002225992,0.0002624004,0.0002641253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003308737,"about_ca_system_score_gemma":0.0002683229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002948683,"about_ca_topic_score_gemma":0.001077528,"domain_scores_codex":[0.9998802,0.00001443448,0.00001006892,0.000037061,0.00004096004,0.00001724277],"domain_scores_gemma":[0.9998754,0.00001622963,0.0000523788,0.00001197326,0.00002312784,0.00002090383],"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":[0.00003614957,0.00001765727,0.0002052696,0.0000475469,0.000005967464,0.00005140413,0.00002366858,0.002497459,0.9909769,0.00144249,0.00006545572,0.004629905],"study_design_scores_gemma":[0.00001649188,0.0003263999,0.0006341859,0.000005078952,0.000009434591,0.0001573032,0.00001523187,0.01328215,0.9781582,0.0003893154,0.00699151,0.00001482065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8666508,0.0007860656,0.1268667,0.0001755541,0.00007008177,0.0001274577,0.0001883277,0.0004341786,0.004700975],"genre_scores_gemma":[0.9018395,0.0004515986,0.0944728,0.00005255824,0.00002016644,0.0001412958,0.0002026431,0.00006953592,0.002749842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004634857,"threshold_uncertainty_score":0.002400696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439823401115123,"score_gpt":0.2779080216371496,"score_spread":0.2635097876259984,"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."}}