{"id":"W2156472850","doi":"10.1046/j.1365-2699.2002.00701.x","title":"The relative abundance of three plant functional types in temperate grasslands and shrublands of North and South America: effects of projected climate change","year":2002,"lang":"en","type":"article","venue":"Journal of Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Shrubland; Temperate climate; Abundance (ecology); Grassland; Climate change; Shrub; Precipitation; Relative species abundance; Environmental science; Ecology; Range (aeronautics); Physical geography; Geography; Climatology; Ecosystem; Biology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001379379,0.00006410465,0.0001837674,0.0001079528,0.00007065897,0.000002958123,0.00004786887,0.00002744116,0.000005008508],"category_scores_gemma":[0.00002976051,0.00003921068,0.00004357217,0.0003140402,0.0004490495,0.00009450769,0.00003815189,0.00008983514,2.826578e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000490668,"about_ca_system_score_gemma":0.000002078138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003084914,"about_ca_topic_score_gemma":0.0006258715,"domain_scores_codex":[0.9994324,0.00004195688,0.0002520586,0.00006871788,0.0001153604,0.00008948346],"domain_scores_gemma":[0.9993316,0.000175636,0.0004040396,0.00004131241,0.00002749566,0.00001994254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008426486,0.00004985408,0.9973955,0.00002901862,0.00006945,0.000001857254,0.001434817,0.00001611644,0.0002359392,0.00004209315,0.000009068832,0.0006319799],"study_design_scores_gemma":[0.0004610512,0.0004375449,0.9981365,0.0000467746,0.00003132797,0.000006201549,0.000100602,0.0004416244,0.00008339657,0.0002089235,0.00000784538,0.00003817618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983665,0.001288042,0.00002288208,0.00008846378,0.0000468176,0.00009453865,0.00002274908,0.00000122399,0.00006876667],"genre_scores_gemma":[0.9968414,0.002995471,0.000134297,0.00001198664,0.000007686999,0.000003708782,0.000001077939,0.000002288086,0.000002035094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001707428,"threshold_uncertainty_score":0.1654542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022356900977688,"score_gpt":0.1869296620957131,"score_spread":0.1767060930859362,"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."}}