{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002970519,0.00008236587,0.00007951477,0.000004433306,0.0003032945,0.000005335201,0.0001328996,0.00005043662,0.004497907],"category_scores_gemma":[0.0001031659,0.00005916206,0.00002518808,0.00009217018,0.00009612101,0.0000786082,0.0001533672,0.00007195157,0.002016616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002389049,"about_ca_system_score_gemma":0.00001064526,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002510904,"about_ca_topic_score_gemma":0.03142362,"domain_scores_codex":[0.9993075,0.0001749139,0.00009483191,0.0001300294,0.0001078344,0.0001849415],"domain_scores_gemma":[0.9995895,0.0001646602,0.00002872745,0.0001218991,0.000006277239,0.00008894735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001093006,0.0002500816,0.6931342,0.000006781256,0.00006484363,0.0000168692,0.002502687,0.0002233295,0.001147657,0.0009780783,0.2799946,0.02058777],"study_design_scores_gemma":[0.0002923971,0.0001368134,0.9900049,0.000009301464,0.000004544977,0.000007483965,0.0001438764,0.00004624897,0.00001492083,0.001191744,0.008062195,0.00008558306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739879,0.0000129478,0.0002628938,0.006442873,0.0001767254,0.0001405652,0.0002205737,0.00004543443,0.01871005],"genre_scores_gemma":[0.9955654,0.000005321292,0.0002133583,0.00105517,0.00003492094,0.00005290854,0.000005206306,0.000004297139,0.003063484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2968706,"threshold_uncertainty_score":0.9987604,"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."}}