{"id":"W2913476461","doi":"10.1111/eea.12750","title":"Plant silicon effects on insect feeding dynamics are influenced by plant nitrogen availability","year":2019,"lang":"en","type":"article","venue":"Entomologia Experimentalis et Applicata","topic":"Silicon Effects in Agriculture","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Environment Research Council; Sight Research UK","keywords":"Biology; Noctuidae; Herbivore; Lepidoptera genitalia; Helicoverpa zea; Palatability; Nutrient; Poaceae; Fall armyworm; Agronomy; Insect; Assimilation (phonology); Ingestion; Pupa; Larva; Bioassay; Trophic level; Plant defense against herbivory; Instar; Botany; Ecology; Food science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003915651,0.0005065468,0.0005101892,0.00002393595,0.0001747578,0.000135416,0.0008894619,0.0003655261,0.0003528905],"category_scores_gemma":[0.00007247243,0.0002114565,0.0001734855,0.0003702819,0.0001056935,0.0001797751,0.0003617657,0.0004187894,0.000498109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003510354,"about_ca_system_score_gemma":0.0000075639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005226475,"about_ca_topic_score_gemma":0.0001197558,"domain_scores_codex":[0.9971628,0.0002613893,0.00037267,0.001086372,0.0004931221,0.000623616],"domain_scores_gemma":[0.9983086,0.0008312378,0.0002704102,0.0003386372,0.00003206733,0.000219068],"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":[0.0001300663,0.0003158897,0.07305473,0.00002578181,0.00003887482,0.0000118533,0.0001294378,0.000002722169,0.9166241,0.0005763648,0.00758726,0.001502958],"study_design_scores_gemma":[0.0005162039,0.0007491554,0.01910639,0.00006854132,0.00001384959,0.00003351644,0.0007007076,0.0001119476,0.977247,0.0001437175,0.0007557518,0.0005532206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945592,0.0003001875,6.275371e-7,0.000465861,0.0002486121,0.001700789,0.001198278,0.0003543041,0.001172146],"genre_scores_gemma":[0.9948987,0.00002266078,0.00002495185,0.001709805,0.0001257027,0.0004571269,0.002654369,0.000005937098,0.0001007381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06062295,"threshold_uncertainty_score":0.8622946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146736007085138,"score_gpt":0.2347371679849226,"score_spread":0.2232698079140712,"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."}}