{"id":"W4388520207","doi":"10.1126/science.adh8830","title":"Plant size, latitude, and phylogeny explain within-population variability in herbivory","year":2023,"lang":"en","type":"article","venue":"Science","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton; University of Ottawa; Wilfrid Laurier University; McGill University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Michigan State University; College of Engineering, Michigan State University; U.S. Department of Agriculture; National Science Foundation","keywords":"Herbivore; Biology; Ecology; Latitude; Ecosystem; Population; Plant ecology; Geography; Demography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008347963,0.000215603,0.0003145933,0.0004518233,0.0003705964,0.0005900633,0.0002981551,0.0002686997,0.001170323],"category_scores_gemma":[0.002224328,0.0001586975,0.0003774732,0.0004645572,0.0005260815,0.0004104497,0.0004398842,0.0002769458,0.0002467927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001999096,"about_ca_system_score_gemma":0.000144883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00404595,"about_ca_topic_score_gemma":0.01208846,"domain_scores_codex":[0.999549,0.0002190504,0.00002645733,0.0001171333,0.00003632919,0.00005207967],"domain_scores_gemma":[0.9979033,0.001124157,0.0003991986,0.0002865782,0.0001282108,0.0001585065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003465799,0.000009263403,0.9918095,0.0000153973,0.0001311219,0.00003003622,0.0002112545,0.0003324882,0.002839247,0.0002175026,0.00006578048,0.004303731],"study_design_scores_gemma":[0.000001967764,0.00001041435,0.9976501,0.000004530773,0.00004193169,0.00004143692,0.0001763507,0.001223139,0.0002102535,0.0003733132,0.0002627625,0.000003882612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963025,0.0005382339,0.001911248,0.00008480364,0.000005866761,0.00000327092,0.0001167412,0.00001638665,0.001021071],"genre_scores_gemma":[0.9996557,0.00005281991,0.0001789081,0.000009795947,0.000003117137,0.00000113315,0.00004233991,0.000004370077,0.00005176257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00404595,"threshold_uncertainty_score":0.008044839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00906996197685887,"score_gpt":0.2400011529998724,"score_spread":0.2309311910230135,"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."}}