{"id":"W2664555219","doi":"10.1002/9781118696880.ch5.2","title":"Synthetic Molecules as Guides for DNA Nanostructure Formation","year":2014,"lang":"en","type":"other","venue":"","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":"","keywords":"Covalent bond; DNA; Nanotechnology; Molecule; Intercalation (chemistry); DNA nanotechnology; DNA origami; Materials science; Groove (engineering); Combinatorial chemistry; Chemistry; Nanostructure; Biochemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004587747,0.0004434792,0.0002212933,0.0004116485,0.000246523,0.0005221091,0.0004623776,0.0004627026,0.002928838],"category_scores_gemma":[0.0005221076,0.0002867969,0.0001298837,0.0002775363,0.0003604874,0.0004019674,0.0003925517,0.0006523933,0.002923186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004218993,"about_ca_system_score_gemma":0.000418104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002693523,"about_ca_topic_score_gemma":0.0008313978,"domain_scores_codex":[0.9996728,0.00006371309,0.00002398134,0.00006156173,0.0001535657,0.00002434859],"domain_scores_gemma":[0.9998117,0.00005361618,0.00005041984,0.00002031064,0.00004644783,0.00001743321],"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":[0.00006859818,0.00004343449,0.0001783493,0.0009233559,0.00001131206,0.0001737302,0.0001656737,0.00110248,0.9257274,0.02250257,0.002545473,0.04655753],"study_design_scores_gemma":[0.00002310421,0.0001186147,0.0001142442,0.00004919291,0.00000881722,0.0001894035,0.00002819977,0.001419723,0.8328945,0.0007158297,0.1644235,0.00001475347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.3787408,0.07731576,0.3711611,0.001990374,0.001994389,0.001351181,0.002815048,0.005171033,0.1594603],"genre_scores_gemma":[0.4993053,0.03933055,0.374348,0.001006891,0.0002223289,0.0008674084,0.002171649,0.0005590063,0.08218882],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002928838,"threshold_uncertainty_score":0.009797871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005284692592465123,"score_gpt":0.2592474250030394,"score_spread":0.2539627324105743,"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."}}