{"id":"W2800577458","doi":"10.1016/j.cbpa.2018.04.012","title":"Recent advances in DNA nanotechnology","year":2018,"lang":"en","type":"review","venue":"Current Opinion in Chemical Biology","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":128,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Nanotechnology; DNA nanotechnology; DNA; Stacking; Nanomaterials; Biomedicine; Applications of nanotechnology; Computer science; Computational biology; Materials science; Chemistry; Biology; Bioinformatics; Genetics","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0002726554,0.0005181949,0.001259889,0.0003605846,0.00002463188,0.000008154656,0.0005561757,0.001428398,0.000006244107],"category_scores_gemma":[0.0003643488,0.0004200401,0.0003050271,0.0006013899,0.0004871523,0.000004395601,0.0004100303,0.0006083323,0.00001648337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001206485,"about_ca_system_score_gemma":0.0001387207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.448194e-7,"about_ca_topic_score_gemma":0.000006903795,"domain_scores_codex":[0.9970791,0.0002149059,0.0009277652,0.001149999,0.00008048764,0.0005476868],"domain_scores_gemma":[0.9988361,0.0000522436,0.0003675781,0.0006023817,0.00007243982,0.0000692559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001809247,0.0001162727,0.00002630057,0.00112301,0.00001741743,4.735457e-7,0.000001480227,2.742025e-8,0.001571249,0.00006412966,0.0006040161,0.9964575],"study_design_scores_gemma":[0.000200599,0.0001266525,2.542888e-7,0.002985056,0.00002336771,0.00002078414,0.000002581893,0.000001227647,0.006962123,0.0004877694,0.9887226,0.0004669889],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001111334,0.9977639,0.00007817584,0.00004822134,0.00142762,0.0003774941,0.0000645906,0.00004894717,0.00007987984],"genre_scores_gemma":[0.00008421207,0.9962927,0.0005036982,0.00001722734,0.0007781813,0.0001235956,0.002156482,0.00003603987,0.000007938873],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9959905,"threshold_uncertainty_score":0.999868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05513833372244065,"score_gpt":0.4117061651620921,"score_spread":0.3565678314396515,"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."}}