{"id":"W1461294855","doi":"10.1021/acscombsci.5b00079","title":"Computational Approaches to Nucleic Acid Origami","year":2015,"lang":"en","type":"review","venue":"ACS Combinatorial Science","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Glycomics Centre; University of Alberta","funders":"","keywords":"DNA origami; RNA; Nucleic acid; Nanotechnology; DNA; DNA nanotechnology; Base pair; Computational biology; Nanorobotics; Nanomedicine; Chemistry; Biology; Materials science; Biochemistry; Gene","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":[0.0007725559,0.00118765,0.001244972,0.001441468,0.0004219816,0.001266394,0.002247937,0.001418357,0.004394988],"category_scores_gemma":[0.001968446,0.0006140759,0.001047664,0.001724408,0.001528343,0.001431648,0.001278613,0.002610094,0.002321632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191559,"about_ca_system_score_gemma":0.001098829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001398777,"about_ca_topic_score_gemma":0.00120559,"domain_scores_codex":[0.9996073,0.0001190759,0.00003211123,0.00006385855,0.0001578354,0.00001988404],"domain_scores_gemma":[0.9994405,0.0003610481,0.00002633492,0.00004031874,0.0001131906,0.00001861669],"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":[0.00003541789,0.00009286308,0.0002616264,0.008334679,0.0002014685,0.0002612026,0.0002053574,0.06088313,0.004040131,0.4445005,0.02483785,0.4563458],"study_design_scores_gemma":[0.00003275307,0.00006357194,0.0002317661,0.001552674,0.00006091975,0.0003742753,0.00006415285,0.05295093,0.00412546,0.1931785,0.7472926,0.00007229453],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001881141,0.698653,0.2555187,0.003351801,0.001662905,0.0001416841,0.0002996285,0.0006115772,0.03787947],"genre_scores_gemma":[0.02885367,0.7725269,0.1844612,0.001470205,0.001141725,0.0005004134,0.0005506127,0.0002475178,0.01024766],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004394988,"threshold_uncertainty_score":0.01470268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09012685646813642,"score_gpt":0.3420119288705959,"score_spread":0.2518850724024595,"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."}}