{"id":"W2945492292","doi":"10.1002/ece3.5130","title":"Plant invasion alters trait composition and diversity across habitats","year":2019,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; TD Bank","keywords":"Understory; Ecology; Biology; Habitat; Trait; Invasive species; Plant community; Abundance (ecology); Range (aeronautics); Ecosystem; Species richness; Canopy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003180344,0.0002104253,0.0002879443,0.0006219563,0.0002976958,0.0005691007,0.0002043837,0.0001807309,0.0009741886],"category_scores_gemma":[0.0006771177,0.0001525695,0.0001799197,0.0003093344,0.0003414145,0.0002040576,0.0004754553,0.0003625574,0.0001061208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003507424,"about_ca_system_score_gemma":0.0001784244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007043633,"about_ca_topic_score_gemma":0.01694235,"domain_scores_codex":[0.9997647,0.00005188877,0.00001227946,0.00008615469,0.00004272245,0.00004227234],"domain_scores_gemma":[0.9992666,0.0001805123,0.0002389907,0.00007692933,0.00009486396,0.0001421732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003051455,0.0001798577,0.7813569,0.00005688661,0.0001987141,0.00009333707,0.0005108607,0.0006766772,0.2107308,0.0001150003,0.0001246361,0.005651324],"study_design_scores_gemma":[0.000002498411,0.00005501318,0.99775,0.000001852941,0.000009341994,0.00005175053,0.0001318654,0.0009385855,0.0009468106,0.00002538896,0.00008309556,0.000003730237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997169,0.000015572,0.00008572095,0.00000303977,3.552508e-7,0.000001635828,0.0000431855,0.000006127834,0.000127432],"genre_scores_gemma":[0.9996827,0.000007402315,0.0001300646,0.000006253774,4.096406e-7,0.000002522958,0.0000941774,0.000002536952,0.00007398945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007043633,"threshold_uncertainty_score":0.01400524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008843153701959835,"score_gpt":0.2110223903747467,"score_spread":0.2021792366727868,"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."}}