{"id":"W4313650407","doi":"10.1101/2023.01.03.522662","title":"Artificial nanovesicles for dsRNA delivery in spray induced gene silencing for crop protection","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Plant Virus Research Studies","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"HORIZON EUROPE Framework Programme; European Commission; Ministerio de Ciencia e Innovación; Canadian Institute for Advanced Research; National Science Foundation","keywords":"RNA silencing; RNA interference; Gene silencing; Biology; Crop protection; Nanocarriers; RNA; Gene; Biochemistry; Pharmacology; Agronomy","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":[0.0001742547,0.000195414,0.0001493526,0.0001387794,0.00008195778,0.0002448532,0.00009997835,0.0002794125,0.0006974732],"category_scores_gemma":[0.0001055397,0.0001297653,0.0002102683,0.00006061885,0.0001287855,0.0002285768,0.0002119401,0.0002906842,0.0003900753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002313509,"about_ca_system_score_gemma":0.00009400532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001954489,"about_ca_topic_score_gemma":0.0002098563,"domain_scores_codex":[0.999905,0.00001617846,0.000008677084,0.00002112192,0.00003746984,0.00001151807],"domain_scores_gemma":[0.9999398,0.00001343981,0.00001857774,0.000006719948,0.00001238339,0.000009054691],"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":[0.000007269729,0.000003872607,0.00002092278,0.00001752273,0.000001559114,0.000008594999,0.000004150265,0.00008261715,0.9991435,0.00005486682,0.00001737841,0.0006378285],"study_design_scores_gemma":[0.000003707434,0.00003598016,0.0002097675,0.000002647209,0.000002939957,0.00003408857,0.000003808714,0.001144732,0.9966604,0.00003240635,0.001867584,0.000001912639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9441196,0.003588281,0.04837304,0.0001562467,0.000112255,0.00009484845,0.0002464279,0.0003124737,0.002996906],"genre_scores_gemma":[0.9697515,0.00128207,0.02432041,0.0000714495,0.00001414354,0.00006785656,0.0002498322,0.00009885395,0.004143934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006974732,"threshold_uncertainty_score":0.002333224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09464749926107414,"score_gpt":0.2616473116918584,"score_spread":0.1669998124307843,"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."}}