{"id":"W3097091671","doi":"10.1038/s41598-020-75682-6","title":"Environmental RNA interference in two-spotted spider mite, Tetranychus urticae, reveals dsRNA processing requirements for efficient RNAi response","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Japan Society for the Promotion of Science; Tokyo University of Agriculture and Technology; European Commission; Natural Sciences and Engineering Research Council of Canada; Universita degli Studi di Bari Aldo Moro; Institute of Global Innovation Research, Tokyo University of Agriculture and Technology; Government of Canada","keywords":"RNA interference; Tetranychus urticae; Biology; RNA silencing; Caenorhabditis elegans; Spider mite; Gene silencing; Gene; Genetics; Computational biology; Mite; RNA; Botany","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001260611,0.0002097217,0.0002030451,0.00008625314,0.0001917035,0.0001336621,0.0002122609,0.00008617862,0.00002455067],"category_scores_gemma":[0.0004237652,0.0002044289,0.0001080577,0.0002602511,0.0002208404,0.000009280234,0.0001113274,0.0001012148,0.000007959862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005397452,"about_ca_system_score_gemma":0.0001592788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002893656,"about_ca_topic_score_gemma":0.00003321312,"domain_scores_codex":[0.9974847,0.0001006243,0.0006391247,0.0009911242,0.0003183363,0.0004660752],"domain_scores_gemma":[0.9989712,0.00001853305,0.0002491734,0.0005280676,0.00006915323,0.0001638993],"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":[0.0006272742,0.0001369376,0.003385423,0.00004363964,0.00001375708,0.00008609057,0.0003292595,0.0004112965,0.9900208,0.000001172369,0.002158511,0.002785866],"study_design_scores_gemma":[0.001046357,0.0003572233,0.01981575,0.0001199584,0.00003392492,0.00005599385,0.0002750619,0.001325306,0.9605393,0.000223899,0.01572716,0.000480054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953635,0.0007379247,0.002115085,0.000243969,0.00074206,0.0005796215,0.00001427501,0.00001522286,0.0001882821],"genre_scores_gemma":[0.9974256,0.00001100252,0.001249354,0.0002978715,0.0001058075,0.00005117185,0.00008770032,0.00002621532,0.0007452778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02948146,"threshold_uncertainty_score":0.833637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01828389013396386,"score_gpt":0.2816890530601764,"score_spread":0.2634051629262126,"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."}}