{"id":"W1590790951","doi":"10.1016/j.tree.2015.07.001","title":"Predicting communities from functional traits","year":2015,"lang":"en","type":"article","venue":"Trends in Ecology & Evolution","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":210,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Functional diversity; Diversity (politics); Ecosystem; Ecology; Resilience (materials science); Psychological resilience; Biology; Biodiversity; Composition (language); Environmental resource management; Psychology; Environmental science; Social psychology","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":[0.0008250527,0.0006089777,0.0003639075,0.003113392,0.0003892866,0.0007739109,0.0004207619,0.0006993188,0.002545294],"category_scores_gemma":[0.004920124,0.0002389346,0.000725015,0.00121204,0.0003969205,0.001358298,0.0005884226,0.0006959056,0.0008099268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005030015,"about_ca_system_score_gemma":0.0002493509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00579338,"about_ca_topic_score_gemma":0.01106701,"domain_scores_codex":[0.9996827,0.0001089386,0.00001109781,0.0001160301,0.00003804817,0.00004326671],"domain_scores_gemma":[0.9968732,0.001840118,0.000417141,0.0001799104,0.0003253655,0.0003643514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003608081,0.0002500727,0.8743756,0.0001076403,0.0003619936,0.0001116982,0.0001865359,0.04186568,0.007153695,0.00138333,0.00149121,0.07235165],"study_design_scores_gemma":[0.00004114781,0.000201593,0.3625382,0.0000429525,0.0001428112,0.0002869893,0.0004485459,0.6201031,0.001446635,0.01392683,0.0007804519,0.0000406768],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884167,0.0001749173,0.009433215,0.0001125694,0.00001129427,0.0000146546,0.000938361,0.00008585333,0.0008123664],"genre_scores_gemma":[0.9949272,0.00005197137,0.003882111,0.0000199672,0.00001424408,0.00001248674,0.0008594882,0.00001077283,0.0002218053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00579338,"threshold_uncertainty_score":0.01151937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03246567198913984,"score_gpt":0.249543056265244,"score_spread":0.2170773842761041,"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."}}