{"id":"W4389391341","doi":"10.1038/s41467-023-43760-8","title":"Dung removal increases under higher dung beetle functional diversity regardless of grazing intensification","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"European Social Fund; European Regional Development Fund; Horizon 2020 Framework Programme; European Commission; Agencia Estatal de Investigación; Asociación Española De Ecología Terrestre; Fundación de la Universidad Autónoma de Madrid; Universidad Autónoma de Madrid; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Dung beetle; Species richness; Grazing; Ecology; Biology; Scarabaeinae; Nutrient cycle; Ecosystem; Scarabaeidae; Species diversity; Agronomy","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":[0.0003087366,0.0002460193,0.0003330361,0.000372163,0.0002286455,0.0005106112,0.0002033802,0.0002162513,0.001349864],"category_scores_gemma":[0.0004834575,0.000147598,0.000213014,0.0001843574,0.0003040545,0.0002895084,0.0004014401,0.0003349897,0.0001009551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003087028,"about_ca_system_score_gemma":0.0001432835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001462827,"about_ca_topic_score_gemma":0.005785713,"domain_scores_codex":[0.9997402,0.00004517998,0.00001925601,0.0001021138,0.00003794925,0.00005535598],"domain_scores_gemma":[0.9991511,0.0001653113,0.0003174777,0.00009901338,0.00006621207,0.0002008647],"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":[0.001345477,0.0004949852,0.451846,0.0002049944,0.000311726,0.0002275968,0.0004946172,0.0005241015,0.5295501,0.0000827335,0.0001025366,0.01481506],"study_design_scores_gemma":[0.000002430123,0.0001385608,0.9977081,0.000002045062,0.00001023629,0.000041996,0.00007505647,0.00007963757,0.001837244,0.000009934311,0.00009313133,0.000001610328],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997348,0.0000697016,0.00004065542,0.000004080475,5.855637e-7,0.000001646164,0.00002035406,0.000002207061,0.000126029],"genre_scores_gemma":[0.9994566,0.00006382256,0.0001759383,0.00002632284,0.000002928989,0.000004950847,0.00007507953,0.000001594979,0.0001926716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001462827,"threshold_uncertainty_score":0.004515767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03941560777842561,"score_gpt":0.2765454598044744,"score_spread":0.2371298520260488,"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."}}