{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001526439,0.00005556292,0.00008001425,0.00001334353,0.0005373271,0.000004277885,0.0000320633,0.00008201939,0.0001041614],"category_scores_gemma":[0.000006916733,0.00005413334,0.00001118126,0.00003247022,0.0002183909,0.0001492751,0.000249563,0.00006928489,0.0001203762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000702598,"about_ca_system_score_gemma":0.000001675329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007325643,"about_ca_topic_score_gemma":0.001629047,"domain_scores_codex":[0.9995481,0.00004275354,0.00006593364,0.0001692469,0.00003908991,0.0001349184],"domain_scores_gemma":[0.9998299,0.00006142747,0.00003566097,0.00003977309,0.000003476494,0.00002968954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003245832,0.00002271999,0.996514,0.000005991424,0.00000813104,0.000001379221,0.001079427,0.0002103585,0.001280881,0.000524925,0.0002001416,0.0001195967],"study_design_scores_gemma":[0.0003661795,0.0001064657,0.9940829,0.000002843851,0.000008025963,0.00001502893,0.0002258834,0.003225582,0.00001332151,0.001861784,0.00002908047,0.00006285169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984029,0.00003268407,0.0001380378,0.0003712272,0.0001752504,0.0001151835,0.00001074872,0.00001525311,0.0007387485],"genre_scores_gemma":[0.9994741,0.00003284886,0.000130305,0.0001932487,0.000006318677,0.000003421491,0.00001451842,0.000001639994,0.0001435966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003015224,"threshold_uncertainty_score":0.413274,"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."}}