{"id":"W4311825806","doi":"10.1002/smll.202204651","title":"An RNA Paranemic Crossover Triangle as A 3D Module for Cotranscriptional Nanoassembly","year":2022,"lang":"en","type":"article","venue":"Small","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Research Council; Novo Nordisk Fonden; Aarhus Universitet; Novo Nordisk; Natural Sciences and Engineering Research Council of Canada; European Commission; Danmarks Frie Forskningsfond","keywords":"Crossover; Nanotechnology; Computer science; Materials science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001608299,0.000243901,0.0002196407,0.0002278883,0.0002005786,0.000302189,0.0005189575,0.000361953,0.001646171],"category_scores_gemma":[0.0002129568,0.0002402043,0.0002940595,0.0001912104,0.0002440045,0.0003170191,0.0005695536,0.0006049997,0.0007964567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002445136,"about_ca_system_score_gemma":0.000197076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002187533,"about_ca_topic_score_gemma":0.0003412536,"domain_scores_codex":[0.9998133,0.00002649696,0.0000114001,0.00004390391,0.00007719461,0.00002768533],"domain_scores_gemma":[0.9998497,0.00002184754,0.00003477742,0.00003928599,0.00001667837,0.00003762241],"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":[0.00004762715,0.00002627987,0.0001887627,0.00005123842,0.000006365808,0.0001840974,0.00004404505,0.001260326,0.9878415,0.00314681,0.0001227524,0.007080315],"study_design_scores_gemma":[0.00003084523,0.0003801969,0.0009482256,0.000007388669,0.00001407291,0.000588596,0.0000245887,0.01376627,0.9681399,0.0004249294,0.01564643,0.00002861406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8226893,0.0006179773,0.1643526,0.0001833684,0.0001568317,0.000197796,0.0003543644,0.001452965,0.009994959],"genre_scores_gemma":[0.8833401,0.0003314261,0.110591,0.0000635082,0.00001419631,0.0002299249,0.0004115298,0.0001126861,0.004905698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001646171,"threshold_uncertainty_score":0.005506933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627594675766874,"score_gpt":0.2859252695294734,"score_spread":0.2696493227718047,"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."}}