{"id":"W4386099210","doi":"10.1002/ange.202309869","title":"Minimalist Design of Wireframe DNA Nanotubes: Tunable Geometry, Size, Chirality, and Dynamics","year":2023,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Council for the Arts","keywords":"DNA origami; Nanotube; Nanotechnology; DNA nanotechnology; Modular design; Materials science; DNA; Chirality (physics); Nanoscopic scale; Biosensor; Biophysics; Chemistry; Nanostructure; Carbon nanotube; 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":[0.0001531122,0.0002022511,0.0001928649,0.0001485085,0.0001847821,0.0002989737,0.0003097603,0.0002631477,0.0005440206],"category_scores_gemma":[0.0002166521,0.0001892809,0.0001642733,0.00007622064,0.0001990827,0.0001449476,0.0002158212,0.0002023028,0.0002534682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003910252,"about_ca_system_score_gemma":0.0002672918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003773139,"about_ca_topic_score_gemma":0.001155712,"domain_scores_codex":[0.9998889,0.00001401278,0.000008966497,0.00003287148,0.00003626769,0.00001898063],"domain_scores_gemma":[0.9998422,0.00001799256,0.00006526816,0.00001364056,0.00003087085,0.00002995372],"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":[0.00005555351,0.00003112278,0.000298143,0.00003902089,0.000007727393,0.00006240946,0.00002412049,0.004584531,0.9900927,0.001547096,0.00007021731,0.003187377],"study_design_scores_gemma":[0.0000290702,0.0003910245,0.0008193076,0.000005994646,0.0000101532,0.00009159159,0.00001768582,0.03470783,0.9589816,0.0003448897,0.004582903,0.00001793433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404255,0.0002764926,0.05562374,0.00008848036,0.00004767244,0.00006685769,0.00009996503,0.0002430183,0.003128218],"genre_scores_gemma":[0.9657228,0.0001187014,0.03248765,0.00002231204,0.000009982853,0.00006386374,0.00007529868,0.00003265603,0.001466788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005440206,"threshold_uncertainty_score":0.002837062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644134462920134,"score_gpt":0.2687964541519329,"score_spread":0.2523551095227316,"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."}}