{"id":"W4225146973","doi":"10.1002/ecy.3739","title":"Large herbivores trigger spatiotemporal changes in forest plant diversity","year":2022,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Center for Northern Studies; Université du Québec en Abitibi-Témiscamingue; Université de Sherbrooke; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Ministère des Forêts, de la Faune et des Parcs","keywords":"Odocoileus; Herbivore; Ecology; Plant community; Beta diversity; Understory; Ecological succession; Ungulate; Alpha diversity; Biology; Exclosure; Vegetation (pathology); Temperate forest; Taiga; Species diversity; Gamma diversity; Ecosystem; Species richness; Habitat; Canopy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002907987,0.0001297331,0.0002517476,0.0002761537,0.0001702074,0.0003434612,0.0001405163,0.0002110985,0.0005481701],"category_scores_gemma":[0.0004524127,0.0001192918,0.0001815593,0.0001526063,0.0002382785,0.0002214124,0.0003406287,0.000252546,0.00008292987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001856898,"about_ca_system_score_gemma":0.00009368647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001039033,"about_ca_topic_score_gemma":0.002738244,"domain_scores_codex":[0.9998519,0.00003918621,0.000009356721,0.00004805418,0.00001832065,0.00003303528],"domain_scores_gemma":[0.9994889,0.0001386261,0.0001606091,0.00006015442,0.00004307821,0.0001085322],"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":[0.0008025325,0.0002549611,0.3784877,0.00007709522,0.0001457985,0.0001668247,0.0002720097,0.0006797588,0.6070476,0.00009911825,0.0001241443,0.01184241],"study_design_scores_gemma":[0.000005320381,0.0002098619,0.9946387,0.000002521953,0.00001751768,0.00006518329,0.00009715829,0.0007266082,0.0040244,0.00006013424,0.0001481039,0.00000442858],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994986,0.00006790987,0.000198611,0.000004837037,0.000001156348,0.000003462675,0.00005450169,0.000008038945,0.0001629117],"genre_scores_gemma":[0.9995905,0.00003045936,0.0002165505,0.00001543863,0.000001821574,0.000005734356,0.00006124053,0.000002051413,0.0000762227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001039033,"threshold_uncertainty_score":0.002065957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100866466793476,"score_gpt":0.2112405702035105,"score_spread":0.2002319055355757,"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."}}