{"id":"W4400988332","doi":"10.1002/adma.202403477","title":"Automated Synthesis of DNA Nanostructures","year":2024,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Nanotechnology; Materials science; Supramolecular chemistry; DNA origami; DNA nanotechnology; Workflow; Nanotube; Self-assembly; DNA; Automation; Nanostructure; Computer science; Molecule; Carbon nanotube; Engineering; 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":[0.0003815521,0.0005911278,0.0006046126,0.0006139591,0.0004206797,0.0005265594,0.0005800513,0.0004136119,0.002295291],"category_scores_gemma":[0.0007800652,0.0004189318,0.0004607714,0.0004735132,0.0003419086,0.0004385543,0.0006870224,0.0009548099,0.001711537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005380202,"about_ca_system_score_gemma":0.000689352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005322029,"about_ca_topic_score_gemma":0.001407946,"domain_scores_codex":[0.999421,0.00006371697,0.00005458469,0.0001772282,0.0002158988,0.00006756927],"domain_scores_gemma":[0.9997432,0.00007313257,0.00004604151,0.00006128319,0.00005269914,0.00002376906],"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":[0.0000747313,0.00004248351,0.0001411495,0.0003494198,0.00002741592,0.0001058715,0.000124258,0.008024039,0.9226555,0.004862887,0.000714365,0.06287793],"study_design_scores_gemma":[0.00002422722,0.000154567,0.0002688427,0.00002153442,0.00001082754,0.0001002516,0.00001813022,0.01571179,0.9569526,0.001590206,0.02511913,0.00002792131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2065365,0.002395255,0.7671508,0.0003920321,0.0003847917,0.0008704076,0.002436534,0.005290574,0.01454307],"genre_scores_gemma":[0.2895971,0.001586732,0.7009516,0.00009924814,0.00003834993,0.0006860021,0.001582823,0.0004147571,0.005043427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002295291,"threshold_uncertainty_score":0.007678509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004844047090528554,"score_gpt":0.271418674058472,"score_spread":0.2665746269679434,"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."}}