{"id":"W2467102752","doi":"10.1038/mt.2016.138","title":"Advanced Design of Dumbbell-shaped Genetic Minimal Vectors Improves Non-coding and Coding RNA Expression","year":2016,"lang":"en","type":"article","venue":"Molecular Therapy","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Medical Research Council; Fédération pour la Recherche sur le Cerveau; Ministry of Education - Singapore; National University of Singapore","keywords":"Dumbbell; Small hairpin RNA; RNA; Plasmid; Biology; Gene; Molecular biology; RNA silencing; Gene silencing; Computational biology; Genetics; RNA interference","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":[0.0003569155,0.0006567814,0.0004822752,0.0003077008,0.0003034021,0.0007081216,0.0006579549,0.0005889376,0.0006282027],"category_scores_gemma":[0.0003506254,0.0002863327,0.0003901976,0.0003058133,0.0003435289,0.0003519546,0.0003934212,0.0007789755,0.0006151379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009262052,"about_ca_system_score_gemma":0.0007292659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006580094,"about_ca_topic_score_gemma":0.001526145,"domain_scores_codex":[0.9997301,0.00004316481,0.00002614044,0.00006580292,0.0000835108,0.00005133159],"domain_scores_gemma":[0.9997867,0.00002443837,0.00007291902,0.00001878418,0.00005580742,0.00004135841],"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":[0.0001076562,0.00002734177,0.00008301312,0.00006380651,0.000006779189,0.00003240193,0.00001741512,0.0007875942,0.9927956,0.001499466,0.00006830513,0.004510527],"study_design_scores_gemma":[0.00000867123,0.00009371549,0.00009818761,0.000003195539,0.000009854714,0.00005598842,0.000008451335,0.001949696,0.9947028,0.000125119,0.002936532,0.000007842901],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6277063,0.002337544,0.3643693,0.0003456835,0.0001976645,0.0003083581,0.000478962,0.000938911,0.003317176],"genre_scores_gemma":[0.7803565,0.001683908,0.2109683,0.000156454,0.00001890929,0.0003171007,0.0009339557,0.0002172574,0.005347712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009262052,"threshold_uncertainty_score":0.006720185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198092435238628,"score_gpt":0.2408525289180892,"score_spread":0.2288716045657029,"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."}}