{"id":"W4251561810","doi":"10.1002/ange.201809251","title":"“Printing” DNA Strand Patterns on Small Molecules with Control of Valency, Directionality, and Sequence","year":2018,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Valency; DNA; Directionality; Molecule; Nanotechnology; Sequence (biology); Sticky and blunt ends; DNA origami; Chemistry; DNA sequencing; Combinatorial chemistry; DNA nanotechnology; Materials science; Biology; Biochemistry; Molecular biology; Restriction enzyme; Organic chemistry","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":[0.0001953114,0.0003156538,0.0001747805,0.0001684194,0.0001368953,0.0003930905,0.0003784722,0.000342359,0.001177334],"category_scores_gemma":[0.0003644083,0.0002538864,0.0002277426,0.000179493,0.0003761259,0.0003680363,0.0002570162,0.0003749105,0.0005770994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001606617,"about_ca_system_score_gemma":0.0001207885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009273046,"about_ca_topic_score_gemma":0.0002082076,"domain_scores_codex":[0.9997954,0.00002909004,0.00001827087,0.00004850766,0.00007965977,0.00002917197],"domain_scores_gemma":[0.9996935,0.00008328752,0.0001158246,0.00004743819,0.00003143138,0.00002851757],"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":[0.00002943545,0.000008874053,0.00006388751,0.00002557543,0.000004161438,0.00005835121,0.00001276227,0.0002102178,0.9967064,0.0003880086,0.00002857875,0.002463647],"study_design_scores_gemma":[0.000003140678,0.00002615053,0.0001023984,0.00000100429,0.000002723734,0.00003911015,0.000001861896,0.0005289052,0.9987919,0.00003571379,0.0004646498,0.000002499434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9482499,0.001031667,0.04364372,0.0001553105,0.0001152,0.0000478882,0.0001055139,0.000451254,0.006199564],"genre_scores_gemma":[0.9728344,0.0004281673,0.02394799,0.00008700643,0.00002641344,0.00003024381,0.00006676283,0.00005746146,0.002521395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001177334,"threshold_uncertainty_score":0.003938615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638278432112228,"score_gpt":0.2608572317375918,"score_spread":0.2444744474164696,"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."}}