{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003228884,0.00007629534,0.000105917,0.00005382339,0.0003425009,0.000007891635,0.00007664334,0.00005528018,0.0001472917],"category_scores_gemma":[0.00004896739,0.00007948689,0.00001272298,0.00006095303,0.0008034341,0.00006670361,0.000128872,0.0001381719,0.0001085241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001321599,"about_ca_system_score_gemma":0.000004054547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003577535,"about_ca_topic_score_gemma":0.09435903,"domain_scores_codex":[0.9991341,0.000383592,0.0001325189,0.0001392576,0.00004795871,0.0001625721],"domain_scores_gemma":[0.9995795,0.0002493314,0.00003733268,0.00009418862,0.000004685071,0.00003496917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001021348,0.00004939553,0.9706228,0.000002833891,0.000008754927,0.000006141921,0.001549796,0.0000666398,0.02719757,0.00003322366,0.0002862096,0.00007445663],"study_design_scores_gemma":[0.0002523972,0.0001612381,0.9979022,0.000004600789,0.000005003635,0.00001029002,0.0001536549,0.0003382923,0.0009651448,0.0000697213,0.00005898492,0.00007847291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940268,0.000002515602,0.0003536464,0.004761346,0.0001561675,0.0001590342,0.000008566474,0.00001801784,0.0005138448],"genre_scores_gemma":[0.9941786,0.000002108117,0.0003690586,0.005380256,0.00002114384,0.00001454214,0.000008807649,0.000003367968,0.00002215089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09400128,"threshold_uncertainty_score":0.9221666,"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."}}