{"id":"W2435263852","doi":"10.1007/s10530-016-1188-0","title":"Response of floodplain understorey species to environmental gradients and tree invasion: a functional trait perspective","year":2016,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McGill University","keywords":"Biology; Floodplain; Trait; Understory; Ecology; Perspective (graphical); Invasive species; Trait theory; Tree (set theory); Disturbance (geology); Big Five personality traits; Personality; Canopy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005852936,0.0002295689,0.0002477565,0.0005520986,0.000300431,0.0007769698,0.0002446983,0.0003899323,0.002327884],"category_scores_gemma":[0.001496229,0.0001858956,0.0002965633,0.0003768137,0.000517451,0.0006048295,0.0005169109,0.0004444666,0.0001338355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000165844,"about_ca_system_score_gemma":0.0001201436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002001037,"about_ca_topic_score_gemma":0.004383061,"domain_scores_codex":[0.9997651,0.00009056688,0.00001099138,0.00006840103,0.00001967858,0.00004536641],"domain_scores_gemma":[0.998768,0.0005496446,0.0003030439,0.0001082623,0.0000767118,0.0001943104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002938471,0.0001327759,0.948711,0.00002871682,0.0002483143,0.00007779287,0.000571782,0.0005995705,0.04524955,0.0004287725,0.00006278345,0.003595146],"study_design_scores_gemma":[8.281957e-7,0.00003616287,0.9989616,9.057153e-7,0.00001088994,0.00003419006,0.0001441068,0.0004873385,0.0002179634,0.00007008197,0.00003349233,0.000002428633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995901,0.0000244836,0.0001249823,0.00001889734,8.04837e-7,8.377612e-7,0.00003531585,0.000001909463,0.0002026577],"genre_scores_gemma":[0.9996744,0.00001502326,0.00008295593,0.0000116282,0.000002514948,0.000001517271,0.00003705482,0.00000269436,0.0001722448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002327884,"threshold_uncertainty_score":0.007787585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1067962879978513,"score_gpt":0.2361992797573884,"score_spread":0.1294029917595372,"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."}}