{"id":"W1967483914","doi":"10.1111/j.1744-7917.2009.01255.x","title":"Identification, isolation and characterization of the antifeedant constituent of <i>Clausena anisata</i> against <i>Helicoverpa armigera</i> (Lepidoptera: Noctuidae)","year":2009,"lang":"en","type":"article","venue":"Insect Science","topic":"Insect Pest Control Strategies","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"State Key Laboratory of Integrated Pest Management; Third World Academy of Sciences; Chinese Academy of Sciences; University of British Columbia; National Natural Science Foundation of China","keywords":"Petroleum ether; Helicoverpa armigera; Chloroform; Noctuidae; Lepidoptera genitalia; Chromatography; Biology; Ethyl acetate; Botany; Traditional medicine; Chemistry; Extraction (chemistry)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005289633,0.0001155717,0.0001661565,0.00002937108,0.0003110032,0.0001077316,0.0004000542,0.0000448859,0.00001024753],"category_scores_gemma":[0.0001073635,0.00004619188,0.00005040907,0.0008032038,0.0006283812,0.0005492291,0.00005183547,0.00007057013,0.000002367485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002321868,"about_ca_system_score_gemma":0.00006208318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009660139,"about_ca_topic_score_gemma":0.00004190321,"domain_scores_codex":[0.9986564,0.00005569305,0.000400403,0.0002859158,0.0004036724,0.000197949],"domain_scores_gemma":[0.9991055,0.00006925739,0.0003768053,0.0001288084,0.0002721097,0.00004757174],"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":[0.0000136539,0.00004460241,0.007814694,0.000004976548,0.000001817903,3.053496e-7,0.0001455192,0.000009798179,0.9806779,0.001285708,0.000004521663,0.009996512],"study_design_scores_gemma":[0.00009085557,0.00007478375,0.6360261,0.00003146141,0.000005803794,0.000004545227,0.00002821951,0.0004515662,0.3628085,0.0002582265,0.0001382331,0.00008175198],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977289,0.00004354036,0.00004969898,0.0007438046,0.0002024246,0.000272817,0.00003424765,0.00002110701,0.0009034907],"genre_scores_gemma":[0.999379,0.00007087069,0.00002193612,0.0004399185,0.00005735044,0.000003028612,0.000008638729,5.166302e-7,0.00001875276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6282114,"threshold_uncertainty_score":0.2392017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009675504699112242,"score_gpt":0.2006484891637151,"score_spread":0.1909729844646029,"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."}}