{"id":"W2507253250","doi":"10.1111/1365-2664.12775","title":"Functional diversity loss with increasing livestock grazing intensity in drylands: the mechanisms and their consequences depend on the taxa","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Grazing; Ecology; Overgrazing; Biology; Conservation grazing; Livestock; Species diversity; Taxon; Trait; Ecosystem; Niche","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":[0.0006557329,0.0002423701,0.000373915,0.000744952,0.0002794754,0.0005531007,0.0002810943,0.0003414013,0.001633139],"category_scores_gemma":[0.001147443,0.0001973865,0.0004865908,0.0005936309,0.0004840218,0.0003555522,0.0005283386,0.0004055715,0.0001734447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002743283,"about_ca_system_score_gemma":0.0001415685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002780532,"about_ca_topic_score_gemma":0.003459724,"domain_scores_codex":[0.9997911,0.00004847396,0.00001812599,0.00006321757,0.00003212592,0.00004694514],"domain_scores_gemma":[0.9988068,0.0002959468,0.0004831374,0.0001082217,0.0001164948,0.0001893584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003554558,0.00005347968,0.982265,0.00006308295,0.0002040575,0.000130155,0.0002040876,0.0006030285,0.01084527,0.00006984417,0.0001059993,0.005100484],"study_design_scores_gemma":[0.000001958751,0.00002524804,0.9992073,0.000002226009,0.00001081213,0.00005778689,0.00004881147,0.0004687376,0.00008916241,0.00004550242,0.00004090731,0.000001503617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993716,0.0001870982,0.0001872312,0.0000187764,0.00000119719,0.000002053998,0.00009088054,0.000004394073,0.0001369396],"genre_scores_gemma":[0.9995664,0.00005242937,0.0001194483,0.00001454371,0.000003782226,0.000004032007,0.0001384155,0.000001823632,0.00009916929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002780532,"threshold_uncertainty_score":0.005528748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162503000084989,"score_gpt":0.1831927536331347,"score_spread":0.1715677236322848,"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."}}