{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009300353,0.0003435981,0.0006857848,0.0001865556,0.0002172025,0.0001189649,0.0009527767,0.0002844192,7.208174e-7],"category_scores_gemma":[0.0002691343,0.0002720942,0.0001934267,0.00111865,0.0004398629,0.00000966331,0.0005620674,0.0001792167,0.00003205754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001398506,"about_ca_system_score_gemma":0.000930355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000427457,"about_ca_topic_score_gemma":0.000001268371,"domain_scores_codex":[0.9976654,0.00008695789,0.0003665361,0.0008776138,0.0006094975,0.0003939628],"domain_scores_gemma":[0.9986691,0.00001501818,0.0002121476,0.0005757292,0.0002489134,0.0002790542],"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":[0.00001901455,0.0001636745,0.000002852719,0.0003929363,0.0000861091,0.000006414527,0.00002462652,0.00001525481,0.00160433,0.01065797,0.004390909,0.9826359],"study_design_scores_gemma":[0.0001039,0.0002137812,5.8645e-7,0.0002862214,0.00009723541,0.00001512239,0.000006515269,0.000008198802,0.002562916,0.002282378,0.9940005,0.0004226747],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004944408,0.9935621,0.000801605,0.00007438126,0.001855035,0.0008650045,0.00005756033,0.0001165125,0.002173374],"genre_scores_gemma":[0.0279239,0.9566804,0.01260188,0.0001633881,0.001648784,0.00008076362,0.0004893268,0.00008617627,0.0003254054],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9896095,"threshold_uncertainty_score":0.9999731,"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."}}