{"id":"W2038286184","doi":"10.5194/hess-12-437-2008","title":"Modelling the effects of climate on long-term patterns of dissolved organic carbon concentrations in the surface waters of a boreal catchment","year":2008,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; Suomen Ympäristökeskus; Academy of Finland","keywords":"Dissolved organic carbon; Environmental science; Drainage basin; Surface water; Climate change; Hydrology (agriculture); Boreal; Total organic carbon; Deposition (geology); Carbon cycle; Ecosystem; Ecology; Oceanography; Structural basin; Environmental chemistry; Geology; Chemistry; Environmental engineering; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006223583,0.0005967607,0.0003693256,0.0002995975,0.0005127921,0.000874137,0.0006545357,0.0008779337,0.0005946672],"category_scores_gemma":[0.001109211,0.0003492681,0.0006424813,0.0003761015,0.0004599868,0.0005226202,0.0003341419,0.0004515236,0.00005206982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001816481,"about_ca_system_score_gemma":0.001043189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.117163,"about_ca_topic_score_gemma":0.07589304,"domain_scores_codex":[0.9998717,0.00003660496,0.000009334428,0.00003766865,0.00001450826,0.00003019861],"domain_scores_gemma":[0.9994056,0.0003295892,0.00007455471,0.00002820015,0.00008945789,0.0000725748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001870159,0.0001882962,0.06666303,0.00002988017,0.0001090538,0.0001547678,0.00006161474,0.9264497,0.003193571,0.0002193298,0.0002088035,0.002534999],"study_design_scores_gemma":[0.00003645579,0.00009819605,0.03749621,0.000003005274,0.00002561238,0.00001550791,0.00004597026,0.9616114,0.0004146818,0.0001273877,0.000113844,0.00001169722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989839,0.00002391683,0.0005067598,0.00003364557,0.000005246444,0.000007031594,0.0001438775,0.00002680339,0.0002689219],"genre_scores_gemma":[0.9991032,0.00001977293,0.0005722249,0.000008287828,0.000002402511,0.000009753943,0.0001558515,0.000003566591,0.0001250684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.117163,"threshold_uncertainty_score":0.2329621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00964940361317221,"score_gpt":0.2013056591917456,"score_spread":0.1916562555785734,"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."}}