{"id":"W2264641545","doi":"10.1016/j.ecolind.2016.01.024","title":"Assessing the persistence capacity of communities facing natural disturbances on the basis of species response traits","year":2016,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Ministerio de Economía y Competitividad; European Commission","keywords":"Species richness; Ecology; Disturbance (geology); Abundance (ecology); Evergreen; Species diversity; Context (archaeology); Geography; Biology","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":[0.001579968,0.0003905007,0.0003805491,0.001948627,0.0004589,0.0009168469,0.0003970679,0.0005617025,0.001052074],"category_scores_gemma":[0.004891061,0.0001726305,0.0004130831,0.001006514,0.000506804,0.001049549,0.001009194,0.0005342232,0.0001728965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002527661,"about_ca_system_score_gemma":0.0002368314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001059248,"about_ca_topic_score_gemma":0.002271376,"domain_scores_codex":[0.9993936,0.0002098224,0.00005401317,0.0001416712,0.0001159991,0.00008488903],"domain_scores_gemma":[0.9945891,0.002539501,0.001586464,0.0004275824,0.0003525159,0.0005048866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001953115,0.0001595035,0.9730991,0.00003924699,0.0002244907,0.00003982028,0.0003607718,0.001806375,0.01540618,0.0001058518,0.0000386595,0.008524737],"study_design_scores_gemma":[0.000004831194,0.0003566574,0.9902297,0.000006057237,0.00006275874,0.0001495001,0.0005633326,0.006809176,0.001328604,0.0003782679,0.00009700631,0.00001410288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991181,0.00001691607,0.0006436239,0.00000574001,7.910181e-7,0.000004244682,0.00005227448,0.000005011709,0.0001531903],"genre_scores_gemma":[0.9992907,0.00001254993,0.0005032074,0.000003099313,0.000001625051,0.000005505068,0.0001297429,0.000001450711,0.00005207679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001948627,"threshold_uncertainty_score":0.008355796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0517573020537789,"score_gpt":0.2604042352535879,"score_spread":0.208646933199809,"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."}}