{"id":"W4386569071","doi":"10.1016/j.pbi.2023.102441","title":"Improving RNA-based crop protection through nanotechnology and insights from cross-kingdom RNA trafficking","year":2023,"lang":"en","type":"review","venue":"Current Opinion in Plant Biology","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Canadian Institute for Advanced Research; U.S. Department of Agriculture; National Institute of Food and Agriculture; National Institutes of Health; National Science Foundation","keywords":"Biology; RNA; RNA interference; RNA silencing; Nanocarriers; Gene silencing; Computational biology; Biotechnology; Gene; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001753385,0.0004577072,0.001034322,0.000139594,0.0003319164,0.0001144304,0.0004388067,0.0008772766,0.0000374278],"category_scores_gemma":[0.0001511656,0.0001990382,0.0002051671,0.0005236978,0.0001938464,0.0001343682,0.0002272588,0.001168636,0.00005221447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001150555,"about_ca_system_score_gemma":0.00005564532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002032274,"about_ca_topic_score_gemma":0.0006310118,"domain_scores_codex":[0.997524,0.0003830497,0.0008073004,0.0007746455,0.00008157862,0.0004293778],"domain_scores_gemma":[0.9985124,0.0006689718,0.0005921351,0.000134357,0.00004237748,0.00004972461],"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":[0.00002702822,0.00009177457,0.0000262474,0.001195101,0.0000335581,0.000002833872,0.00003019371,0.000001917194,0.004506996,0.0002019117,0.00009909195,0.9937834],"study_design_scores_gemma":[0.0001979261,0.0001837767,0.0001275252,0.007538738,0.00003097316,0.00003603512,0.00002157385,0.0001748235,0.0001217411,0.0003166643,0.9908053,0.0004449197],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05554923,0.9334859,0.00005497135,0.00006388803,0.007634649,0.001004305,0.001913343,0.0002767938,0.00001691195],"genre_scores_gemma":[0.005903848,0.9873635,0.00002970896,0.000009979406,0.0005196867,0.0002147075,0.005944322,0.000006297536,0.000007917522],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9933384,"threshold_uncertainty_score":0.8116541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1543246109097779,"score_gpt":0.3542773966749719,"score_spread":0.1999527857651941,"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."}}