{"id":"W2135965027","doi":"10.1111/ele.12532","title":"Can genetically based clines in plant defence explain greater herbivory at higher latitudes?","year":2015,"lang":"en","type":"letter","venue":"Ecology Letters","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Academy of Finland","keywords":"Herbivore; Biology; Generalist and specialist species; Latitude; Ecology; Adaptation (eye); Resistance (ecology); Range (aeronautics); Phenology; Plant ecology; Habitat; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001360236,0.0002511049,0.0003581579,0.0002454762,0.0003499737,0.0005225788,0.0003505604,0.002006291,0.002940323],"category_scores_gemma":[0.003190582,0.00009649737,0.000208325,0.0003284208,0.0007126827,0.000453829,0.0003058737,0.0008785132,0.001808977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003689896,"about_ca_system_score_gemma":0.0001289868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001293648,"about_ca_topic_score_gemma":0.002569751,"domain_scores_codex":[0.9996724,0.0001203037,0.00002357174,0.0000901559,0.00004723428,0.00004629573],"domain_scores_gemma":[0.9980767,0.001054583,0.0003317325,0.0002342624,0.0001811594,0.0001215726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001369783,0.000179429,0.8111213,0.0001725455,0.0001507377,0.005443162,0.0009394546,0.0006349161,0.0262041,0.004010399,0.02325873,0.1265153],"study_design_scores_gemma":[0.0001411462,0.0003437711,0.9330319,0.0001061421,0.00009145298,0.008631265,0.001600369,0.005034534,0.00306582,0.01380021,0.03407591,0.00007759694],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9137914,0.005687354,0.002956926,0.06277826,0.0009656747,0.00002155514,0.0006466259,0.0001078387,0.01304432],"genre_scores_gemma":[0.9799927,0.001615118,0.000825092,0.01415681,0.0008237354,0.00001697627,0.000184863,0.00002237118,0.002362464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002940323,"threshold_uncertainty_score":0.009836376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05997778498150402,"score_gpt":0.2088141062190302,"score_spread":0.1488363212375262,"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."}}