{"id":"W2810900341","doi":"10.1111/ele.13102","title":"Spatial heterogeneity in species composition constrains plant community responses to herbivory and fertilisation","year":2018,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; The Scarborough Hospital; University of Toronto","funders":"Niedersächsische Ministerium für Wissenschaft und Kultur; National Science Foundation","keywords":"Ecology; Herbivore; Beta diversity; Biodiversity; Extinction (optical mineralogy); Spatial heterogeneity; Spatial ecology; Plant community; Extinction debt; Grassland; Environmental change; Community; Biology; Spatial variability; Ecosystem; Species richness; Climate change; Habitat destruction","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":[0.0005422263,0.0001615994,0.0003238604,0.0006164188,0.0002626444,0.0005794103,0.0002680169,0.0002845906,0.000870881],"category_scores_gemma":[0.001252192,0.0002452918,0.0002022856,0.0003770625,0.0004337954,0.0004758595,0.0005540388,0.0001501995,0.0001469425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002435146,"about_ca_system_score_gemma":0.0001739782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002493341,"about_ca_topic_score_gemma":0.007789291,"domain_scores_codex":[0.9995661,0.0001412868,0.00003564966,0.0001300426,0.00006993511,0.00005697506],"domain_scores_gemma":[0.9987867,0.0004447885,0.0004441505,0.0001572733,0.0000817668,0.00008534312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004410082,0.0001294973,0.6346551,0.0001486892,0.0002660138,0.0001411582,0.0003144835,0.003509862,0.3464889,0.000415658,0.00008788585,0.01340171],"study_design_scores_gemma":[0.000005244374,0.00004905384,0.9918776,0.000005949521,0.0000261943,0.0001069044,0.0001514817,0.003924974,0.003245068,0.0003624727,0.0002384858,0.000006630098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990434,0.00009360579,0.0005123315,0.000009176618,7.189246e-7,0.000003314043,0.00004587933,0.000005284887,0.0002863034],"genre_scores_gemma":[0.999622,0.00003630091,0.0002219762,0.000007458468,0.000001268722,0.000003201808,0.00005243023,0.000002716137,0.00005260131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002493341,"threshold_uncertainty_score":0.004957616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002355500893205,"score_gpt":0.2445759209864086,"score_spread":0.2245523659774765,"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."}}