{"id":"W2023553066","doi":"10.1128/aem.03229-14","title":"Vegetation-Associated Impacts on Arctic Tundra Bacterial and Microeukaryotic Communities","year":2014,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Waterloo","funders":"Chinese Academy of Sciences; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Government of Ontario","keywords":"Tundra; Vegetation (pathology); Permafrost; Environmental science; Arctic; Ecology; Species richness; Phylogenetic diversity; Arctic vegetation; Soil water; Wetland; Vegetation type; Shrub; Biology; Phylogenetic tree","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009053848,0.0001325494,0.0001571973,0.00003387627,0.0001810158,0.00003082889,0.00005833265,0.00008581416,0.0009121743],"category_scores_gemma":[0.000002672008,0.0001126958,0.0000158666,0.00001814715,0.0002708467,0.00003630719,0.0000224438,0.00009805886,0.0001374389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006811592,"about_ca_system_score_gemma":0.000002384056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007430453,"about_ca_topic_score_gemma":0.002851265,"domain_scores_codex":[0.9994443,0.00005852529,0.0001116648,0.0001440188,0.00002282577,0.0002186575],"domain_scores_gemma":[0.9996182,0.0001825834,0.00004556996,0.00008604776,0.000001048804,0.00006651434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009866047,0.00005381554,0.5891611,0.00005071834,0.0000408196,0.00000183295,0.001923466,0.00002274856,0.4040343,0.00008452174,0.0001098603,0.00441808],"study_design_scores_gemma":[0.0007860825,0.0003061886,0.9947166,0.00002339104,0.00002081917,0.00004719568,0.0007874097,0.0001312445,0.0009335289,0.0002351695,0.001803284,0.0002090387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983551,0.0002382882,8.125448e-7,0.00007832392,0.0001143487,0.00009131448,0.0004077778,0.000011363,0.0007026705],"genre_scores_gemma":[0.993506,0.0003782496,0.00001301761,0.0009318657,0.00005463785,0.000001219384,0.005091181,0.000004376901,0.00001948975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4055555,"threshold_uncertainty_score":0.9987669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058645552778387,"score_gpt":0.1747959052320239,"score_spread":0.16420944970424,"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."}}