{"id":"W2943488055","doi":"10.1002/eco.2100","title":"Shrub abundance contributes to shifts in dissolved organic carbon concentration and chemistry in a continental bog exposed to drainage and warming","year":2019,"lang":"en","type":"article","venue":"Ecohydrology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Environmental science; Dissolved organic carbon; Peat; Shrub; Bog; Carbon cycle; Soil carbon; Biogeochemical cycle; Permafrost; Hydrology (agriculture); Carbon sink; Wetland; Ecosystem; Environmental chemistry; Soil water; Ecology; Chemistry; Soil science; Geology","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":[0.0001320781,0.0001694827,0.0002254488,0.0003949742,0.0004132897,0.0004457734,0.0002138722,0.0001699411,0.0005327523],"category_scores_gemma":[0.0001410687,0.0001202072,0.0001630484,0.0002659984,0.0003141713,0.0001005386,0.0002376527,0.0001499629,0.00006276201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171061,"about_ca_system_score_gemma":0.0005128586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1956456,"about_ca_topic_score_gemma":0.3704603,"domain_scores_codex":[0.9999328,0.000009538097,0.000002903689,0.00001917406,0.00001109591,0.00002462806],"domain_scores_gemma":[0.999788,0.00001657806,0.00004675283,0.000013073,0.00003914366,0.00009651475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003201159,0.00008471098,0.9425443,0.00001530035,0.00007006905,0.0001091137,0.000255798,0.0002790643,0.05398951,0.00002723644,0.0001028381,0.002201845],"study_design_scores_gemma":[4.394412e-7,0.000008500096,0.9996684,4.016817e-7,0.000002786757,0.000007832523,0.00007574176,0.00009521913,0.00011114,0.000002912952,0.00002583825,7.224757e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998301,0.00002136066,0.00001723201,0.000004316936,5.199445e-7,0.000001090845,0.00006042926,0.000003502566,0.00006138287],"genre_scores_gemma":[0.9997287,0.00001161325,0.00004319256,0.000006416389,7.263801e-7,0.000001395704,0.0001023364,0.00000110183,0.0001045443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1956456,"threshold_uncertainty_score":0.3890137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003086691980322981,"score_gpt":0.1921752877657777,"score_spread":0.1890885957854548,"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."}}