{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001374453,0.0001447235,0.0002150702,0.00006221838,0.00003016127,0.00002580674,0.0001100772,0.0001143148,0.00001316219],"category_scores_gemma":[0.000172326,0.0001141875,0.00007618338,0.0001088854,0.00008178203,0.000005485258,0.00005647806,0.00002407059,0.00000415874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001077358,"about_ca_system_score_gemma":0.00003153616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004512996,"about_ca_topic_score_gemma":0.000002768578,"domain_scores_codex":[0.9991431,0.00004076485,0.0002545697,0.0002906816,0.0001150168,0.0001558416],"domain_scores_gemma":[0.9995281,0.00002051157,0.00007050294,0.0002729442,0.00007848108,0.00002943508],"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":[0.00004893819,0.000008936161,0.000002767401,0.0000705249,0.00005916045,0.000004764645,0.000004677078,0.000006750592,0.9931267,0.0001474206,0.0008436011,0.005675712],"study_design_scores_gemma":[0.00005057882,0.00006634338,0.00005962136,0.00008895844,0.00003698592,0.00001484263,0.00001115718,0.0000118062,0.9906902,0.0003687722,0.008458912,0.0001417847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978251,0.0005429399,0.0002785653,0.00005763461,0.0002778358,0.0001046503,0.0001542718,0.0003523945,0.0004065626],"genre_scores_gemma":[0.9909194,0.0002972662,0.0083928,0.00004343606,0.00009763803,0.0000137807,0.00006113243,0.00002557115,0.0001489934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008114235,"threshold_uncertainty_score":0.465643,"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."}}