{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007475179,0.0001643565,0.000149101,0.0001226759,0.00008794007,0.0001786978,0.00009544002,0.0001964447,0.0004623443],"category_scores_gemma":[0.0001098526,0.0001035726,0.0001419765,0.00005768355,0.0001265401,0.0001332995,0.0001176242,0.0003560469,0.0002246692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001736901,"about_ca_system_score_gemma":0.00006669623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001921051,"about_ca_topic_score_gemma":0.0005129654,"domain_scores_codex":[0.9999266,0.00001436149,0.000006976694,0.00001712076,0.00001936153,0.00001556893],"domain_scores_gemma":[0.9999284,0.00001919963,0.00001993645,0.00001047156,0.000009261498,0.00001275794],"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":[0.000008743275,0.000003435033,0.00007740918,0.000006114301,5.860776e-7,0.00001306937,0.000003601745,0.000007443279,0.9997367,0.00001373091,0.000002573106,0.0001266085],"study_design_scores_gemma":[0.000008000051,0.0001454799,0.02279217,0.000003967147,0.000009752544,0.0002821864,0.0000400529,0.00157706,0.9743012,0.00006404752,0.0007722538,0.000003802999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975973,0.0003830479,0.001162845,0.00003600145,0.00000579893,0.000009130701,0.0001214582,0.00002724986,0.0006571494],"genre_scores_gemma":[0.9978441,0.0001741637,0.0009353337,0.00002739649,0.000002461633,0.0000142046,0.0002882652,0.00001479233,0.0006993004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004623443,"threshold_uncertainty_score":0.001546741,"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."}}