{"id":"W4323037463","doi":"10.1002/ps.7437","title":"Target gene selection for <scp>RNAi</scp>‐based biopesticides against the hawthorn spider mite, <i>Amphitetranychus viennensis</i> (Acari: Tetranychidae)","year":2023,"lang":"en","type":"article","venue":"Pest Management Science","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shanxi Scholarship Council of China; National Natural Science Foundation of China","keywords":"RNA interference; Biology; Spider mite; Gene silencing; Biopesticide; Gene; Tetranychus urticae; RNA silencing; Fecundity; PEST analysis; Genetics; Pesticide; Botany; RNA; Population; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001303269,0.0003276624,0.0002500303,0.0002542521,0.0001852418,0.000230013,0.0003211342,0.0002990524,0.0008927036],"category_scores_gemma":[0.0001013212,0.0001457912,0.0002995866,0.0001448179,0.000169004,0.0001432664,0.0002139055,0.0004171813,0.0003949563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003558853,"about_ca_system_score_gemma":0.000209293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007375881,"about_ca_topic_score_gemma":0.002007138,"domain_scores_codex":[0.9998348,0.00001255696,0.00002077642,0.00004824396,0.00006317193,0.00002042694],"domain_scores_gemma":[0.9998629,0.00002454034,0.00004814517,0.00001367239,0.00003161409,0.00001911678],"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":[0.00000757523,0.000008393865,0.00007892939,0.00001630833,0.000001489381,0.00001416937,0.000005230322,0.00001098588,0.9993839,0.00001573592,0.000009762734,0.000447435],"study_design_scores_gemma":[0.000006560366,0.0001279393,0.003960065,0.000004697814,0.00002151242,0.0001631521,0.00002047353,0.0005750988,0.9930845,0.00001157886,0.002019885,0.000004437772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828429,0.0004221757,0.01308252,0.00006468633,0.00002543325,0.0002122217,0.0009081755,0.000229848,0.002212226],"genre_scores_gemma":[0.9716334,0.0005054532,0.01990665,0.0001262519,0.00001037142,0.0001931725,0.002825584,0.0001335717,0.004665392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008927036,"threshold_uncertainty_score":0.002986372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149744875559193,"score_gpt":0.225278758172325,"score_spread":0.2103042706164057,"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."}}