{"id":"W4407557371","doi":"10.5376/me.2024.15.0016","title":"Developmental Biology and Pest Management: Insights from Cotton Aphids","year":2024,"lang":"en","type":"article","venue":"Molecular Entomology","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"PEST analysis; Biology; Integrated pest management; Agroforestry; Ecology; Botany","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001396804,0.000318693,0.0001911648,0.0005227901,0.0002681178,0.0004802791,0.0001581466,0.0002713514,0.0008853619],"category_scores_gemma":[0.000107446,0.0001077338,0.0001900899,0.0002379098,0.0002902499,0.0004274417,0.0003495326,0.000617056,0.0001848614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006981282,"about_ca_system_score_gemma":0.0005157195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006507268,"about_ca_topic_score_gemma":0.01063557,"domain_scores_codex":[0.9999601,0.000005669087,0.000002600408,0.00001027913,0.00001172548,0.000009676238],"domain_scores_gemma":[0.9999552,0.00001289453,0.000008632848,0.000001711001,0.000007964368,0.00001369759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001353486,0.00007641198,0.01094115,0.001244359,0.00002785801,0.002087122,0.001028328,0.001274287,0.8090458,0.004570533,0.001419977,0.1681489],"study_design_scores_gemma":[0.00002899574,0.001078635,0.4435278,0.0008012257,0.0001900093,0.006145789,0.003747304,0.005977582,0.1508457,0.008178248,0.3793722,0.0001065609],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7277496,0.2118687,0.008199978,0.006161775,0.0001339037,0.00006966069,0.0008751565,0.0001596987,0.04478152],"genre_scores_gemma":[0.7408544,0.2342642,0.009058829,0.001367149,0.0001526455,0.00003282355,0.0004546249,0.00002328777,0.013792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006507268,"threshold_uncertainty_score":0.0129388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004271309443989582,"score_gpt":0.2370359781213184,"score_spread":0.2327646686773288,"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."}}