{"id":"W2612382734","doi":"10.1111/jvs.12546","title":"Dispersal‐driven homogenization of wetland vegetation revealed from local contributions to β‐diversity","year":2017,"lang":"en","type":"article","venue":"Journal of Vegetation Science","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Government of South Australia","keywords":"Ecology; Species richness; Biological dispersal; Wetland; Beta diversity; Homogenization (climate); Species diversity; Plant community; Geography; Niche; Alpha diversity; Biodiversity; Biology; Population","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001230276,0.0002273133,0.0003730216,0.0009103302,0.0003449479,0.0007657453,0.0004138685,0.0001785775,0.00142063],"category_scores_gemma":[0.002849412,0.0002282162,0.0005396715,0.0005046237,0.0008593063,0.000565339,0.0008067122,0.0003492166,0.0001274571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004682587,"about_ca_system_score_gemma":0.0002617131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008849522,"about_ca_topic_score_gemma":0.01265366,"domain_scores_codex":[0.9995543,0.0001521654,0.00002337939,0.0001702225,0.00005734343,0.0000426104],"domain_scores_gemma":[0.997893,0.0007937188,0.0004852257,0.0003692392,0.0002678355,0.0001909095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008408631,0.00002513658,0.9717344,0.00006385029,0.0002744568,0.0001115754,0.0008448832,0.003667775,0.01531636,0.0005170961,0.00008348003,0.007276829],"study_design_scores_gemma":[0.000001799078,0.00002855497,0.9835889,0.000006865098,0.00003529419,0.00007478667,0.0002668966,0.01485369,0.0006289981,0.0004032765,0.0001021413,0.00000876119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982587,0.00003441395,0.001404294,0.00001024403,5.469655e-7,0.000003492634,0.00004724027,0.000009828366,0.0002312626],"genre_scores_gemma":[0.9996531,0.000007406693,0.0002510452,0.00000304939,6.825034e-7,0.000002525512,0.0000295445,0.000002636933,0.0000499606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008849522,"threshold_uncertainty_score":0.01759607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01221934573407128,"score_gpt":0.2812895484207139,"score_spread":0.2690702026866426,"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."}}