{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001118836,0.0002474753,0.0001913761,0.0001351211,0.001712034,0.0005171947,0.0007756312,0.00005373614,0.00004663937],"category_scores_gemma":[0.0002023546,0.0001005199,0.000170531,0.002752799,0.0002552655,0.0003447509,0.0000893188,0.0001552052,0.0001628033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006315075,"about_ca_system_score_gemma":0.00002051046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001167672,"about_ca_topic_score_gemma":0.0002846691,"domain_scores_codex":[0.9975714,0.00005750533,0.0003222169,0.0006946727,0.0005448731,0.0008093109],"domain_scores_gemma":[0.9987608,0.000642822,0.0001413392,0.0001523216,0.000172521,0.0001302203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005031266,0.0003692019,0.008703617,0.00005050244,0.0000792265,0.00002157925,0.000156483,0.004149178,0.8714011,0.002517092,0.03361741,0.07888435],"study_design_scores_gemma":[0.0007051918,0.000584487,0.2253033,0.000084703,0.0001159334,0.00001986571,0.001190822,0.1027001,0.03074581,0.001005301,0.6371089,0.0004356485],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838486,0.0000635961,0.001548259,0.004454123,0.001084306,0.001206399,0.00009223286,0.0003675689,0.007334947],"genre_scores_gemma":[0.9929068,0.00007086019,0.001045853,0.00382107,0.0002557563,0.0002511431,0.00008445579,0.000003657387,0.001560399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8406552,"threshold_uncertainty_score":0.9995876,"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."}}