{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006578837,0.0004876888,0.0002721813,0.0004189842,0.0001907604,0.0002177661,0.0001397222,0.0002197934,0.000777791],"category_scores_gemma":[0.00009410488,0.0001333539,0.0001976797,0.000263776,0.0001735021,0.000196872,0.0001240582,0.0003001241,0.0001890543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001680372,"about_ca_system_score_gemma":0.0001703686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001467403,"about_ca_topic_score_gemma":0.001919293,"domain_scores_codex":[0.9999623,0.000004345895,0.000003686035,0.000009732335,0.00001117035,0.00000870242],"domain_scores_gemma":[0.9999132,0.00001783857,0.00002196371,0.000004792053,0.00002462259,0.00001755373],"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":[0.00004147235,0.000008150651,0.0001835041,0.0000392047,0.000003600571,0.00002205253,0.000007922039,0.00001216109,0.9989393,0.000007291835,0.00000615996,0.000729202],"study_design_scores_gemma":[0.00006710176,0.001436259,0.0853678,0.00002656029,0.0001242926,0.0004911693,0.0001264778,0.0005154152,0.9084525,0.00004965902,0.003325716,0.00001705815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954144,0.001989969,0.001105131,0.00006480533,0.000009035943,0.00004073873,0.0005654166,0.00003200765,0.000778536],"genre_scores_gemma":[0.9900592,0.002047637,0.003225776,0.000161292,0.0000236017,0.00004229685,0.002611195,0.0000241613,0.001804779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001467403,"threshold_uncertainty_score":0.002917707,"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."}}