{"id":"W2563811116","doi":"10.1002/ecs2.1602","title":"Can functional traits predict plant community response to global change?","year":2016,"lang":"en","type":"article","venue":"Ecosphere","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Irvine; McGill University; U.S. Department of Energy","keywords":"Plant community; Shrub; Context (archaeology); Ecology; Transpiration; Specific leaf area; Plant functional type; Grassland; Biology; Trait; Plant ecology; Community structure; Community; Environmental science; Ecological succession; Ecosystem; Botany; Photosynthesis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001089984,0.0002983527,0.0003882217,0.001224205,0.0002483295,0.0006276692,0.0002183014,0.0005162607,0.001055337],"category_scores_gemma":[0.001950504,0.0001857622,0.0003492136,0.0008365283,0.000488636,0.0007313315,0.0004474613,0.00032033,0.0001948594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002443781,"about_ca_system_score_gemma":0.0001005166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003224076,"about_ca_topic_score_gemma":0.005824632,"domain_scores_codex":[0.9996846,0.0001195538,0.00002039176,0.00009280693,0.00003954309,0.00004315182],"domain_scores_gemma":[0.9984053,0.0005017532,0.0005507124,0.0001557294,0.0002048479,0.0001817431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006342777,0.00003372906,0.9830627,0.0000340907,0.0002238551,0.00003056905,0.00009795503,0.001172283,0.009733913,0.00006506489,0.00009177895,0.005390585],"study_design_scores_gemma":[9.953864e-7,0.00002495599,0.9975886,0.000002518968,0.000007563757,0.00001832647,0.00007359278,0.00197684,0.0001463156,0.0001081918,0.000048225,0.000003755159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978417,0.0001919598,0.001114461,0.00006442635,0.000004076179,0.000006550963,0.0003422137,0.00001553836,0.0004190306],"genre_scores_gemma":[0.9995178,0.00003258753,0.0002616835,0.00001757843,0.000003781775,0.000003057374,0.0001229123,0.000002338624,0.00003826001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003224076,"threshold_uncertainty_score":0.006410599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02230587112446474,"score_gpt":0.2264321972343624,"score_spread":0.2041263261098976,"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."}}