{"id":"W1543954089","doi":"10.5772/17260","title":"Development of RNAi in Insects and RNAi-Based Pest Control","year":2011,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"National Natural Science Foundation of China","keywords":"RNA interference; Biology; PEST analysis; Pest control; Interference (communication); Genetics; Botany; Computer science; Gene; Ecology; RNA; Computer network","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001184805,0.0002635481,0.0002978361,0.0001160704,0.00002921843,0.00000761563,0.0001676171,0.0004560291,0.00002371014],"category_scores_gemma":[0.00001385363,0.0002618631,0.00007440887,0.000006165516,0.0001558465,5.888545e-7,0.00006646969,0.0001860254,0.000005203105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002257433,"about_ca_system_score_gemma":0.0003288999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001358634,"about_ca_topic_score_gemma":0.0008215194,"domain_scores_codex":[0.9989862,0.00001144244,0.0003743645,0.0003200954,0.0001198826,0.00018799],"domain_scores_gemma":[0.9993594,0.000009044255,0.0001785088,0.0002962706,0.0001028651,0.00005390661],"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":[0.0003618574,0.00003070862,0.0001561863,0.0001835878,0.0001272637,0.0000265383,0.0002411716,4.401336e-7,0.9771207,0.0009636836,0.00007629857,0.02071154],"study_design_scores_gemma":[0.0007963447,0.0002122536,0.0002206141,0.0002530266,0.00002386492,0.00000563128,0.000007396588,8.033899e-7,0.8591672,0.001034841,0.1379652,0.0003128927],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2846616,0.003506002,0.0042339,0.0000212635,0.0002801786,0.000988231,0.0000817629,0.00002594291,0.7062011],"genre_scores_gemma":[0.9608619,0.00005875755,0.001375424,0.0002033052,0.00006526366,0.00002373433,0.00003291949,0.00004603975,0.03733271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6762002,"threshold_uncertainty_score":0.9999834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381726078440542,"score_gpt":0.217083692200514,"score_spread":0.2032664314161086,"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."}}