{"id":"W2903015635","doi":"10.1007/s10886-018-1038-x","title":"Ellagitannins from the Onagraceae Decrease the Performance of Generalist and Specialist Herbivores","year":2018,"lang":"en","type":"article","venue":"Journal of Chemical Ecology","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Canada; University of Toronto; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Academy of Finland; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Generalist and specialist species; Herbivore; Ellagitannin; Botany; Polyphenol; Biology; Exigua; Hydrolyzable Tannin; Biochemistry; Ecology; Antioxidant; Spodoptera","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":[0.0001651638,0.00006239932,0.0001457206,0.000004197013,0.0001135034,0.00002357546,0.00023185,0.00005637583,0.0007175811],"category_scores_gemma":[0.0001224343,0.00001601017,0.00006854663,0.00006051545,0.0003222807,0.00005258204,0.00003545043,0.0001488483,0.000005664072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001280158,"about_ca_system_score_gemma":0.0000158101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001781614,"about_ca_topic_score_gemma":0.0004999561,"domain_scores_codex":[0.999432,0.00005440116,0.0002437055,0.00006698828,0.00009263551,0.0001102237],"domain_scores_gemma":[0.9989712,0.0005759495,0.0002182348,0.00003651961,0.0001449013,0.00005324282],"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":[0.0003427792,0.00008330341,0.02513453,0.000001822675,0.00005415428,0.000005252883,0.0001250195,9.148271e-7,0.9532035,0.0003220748,0.01296679,0.007759862],"study_design_scores_gemma":[0.0007999946,0.001843292,0.5784574,0.00007098865,0.0001428142,0.000586885,0.0005936234,0.000576746,0.2128792,0.001622828,0.2021873,0.0002389456],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931833,0.000210528,3.836182e-7,0.005833788,0.0002085398,0.00004019662,0.00001842468,0.000002006159,0.0005028184],"genre_scores_gemma":[0.9969118,0.0001008143,0.00002636405,0.001213504,0.001677221,0.000001103425,0.000003026441,4.644256e-7,0.00006574135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7403243,"threshold_uncertainty_score":0.785701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009380435685205614,"score_gpt":0.2099881164063019,"score_spread":0.2006076807210963,"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."}}