{"id":"W3037067764","doi":"10.1016/j.chempr.2020.06.012","title":"Molecular Printing with DNA Nanotechnology","year":2020,"lang":"en","type":"article","venue":"Chem","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":false,"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","keywords":"Nanotechnology; DNA nanotechnology; DNA origami; Scalability; Template; Nanoscopic scale; DNA; 3D printing; Materials science; Inkwell; Computer science; Nanostructure; 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":[0.0003547524,0.0006456591,0.0004208696,0.0007965652,0.0004602715,0.001166849,0.0008034693,0.001050732,0.009587005],"category_scores_gemma":[0.0006232347,0.0005412968,0.0004155475,0.0006254081,0.0006867596,0.001051961,0.0009779964,0.001561624,0.006311831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007433475,"about_ca_system_score_gemma":0.0003104879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002076972,"about_ca_topic_score_gemma":0.0003218576,"domain_scores_codex":[0.9993271,0.00006077929,0.00003268962,0.0001352462,0.0003956378,0.00004861648],"domain_scores_gemma":[0.9997641,0.00007755769,0.00003969723,0.00006528503,0.00003295108,0.00002041576],"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":[0.00005811254,0.0000867812,0.0001977893,0.000439969,0.00002938648,0.0001839535,0.00009654257,0.000996524,0.8721697,0.04586833,0.003931146,0.07594176],"study_design_scores_gemma":[0.00001005315,0.00005011217,0.0001631382,0.00001889406,0.000008271611,0.0002187301,0.000009872161,0.001797272,0.9398633,0.003966459,0.05387846,0.00001539554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1304912,0.02148925,0.5836823,0.00509391,0.004557402,0.0004168826,0.001040788,0.006113071,0.2471152],"genre_scores_gemma":[0.4621477,0.01083778,0.353692,0.002272334,0.0006638391,0.0004868594,0.0008349984,0.0006550216,0.1684094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009587005,"threshold_uncertainty_score":0.03207177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007538502117494178,"score_gpt":0.2286204580105723,"score_spread":0.2210819558930781,"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."}}