{"id":"W2915461846","doi":"10.3390/w11020390","title":"Streams with Riparian Forest Buffers versus Impoundments Differ in Discharge and DOM Characteristics for Pasture Catchments in Southern Amazonia","year":2019,"lang":"en","type":"article","venue":"Water","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Fundação de Amparo à Pesquisa do Estado de Mato Grosso; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Riparian zone; Environmental science; Hydrology (agriculture); Riparian buffer; Pasture; Deforestation (computer science); Dissolved organic carbon; Surface runoff; Water quality; Amazon rainforest; Drainage basin; STREAMS; Riparian forest; Streamflow; Ecology; Geography; Geology; Habitat; Biology","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":[0.0001636717,0.00009113429,0.0001622794,0.0005797601,0.0003262998,0.0005080328,0.0001561891,0.0001241706,0.001222246],"category_scores_gemma":[0.0006710341,0.0001025361,0.0001568926,0.0008111839,0.0002996738,0.0003173817,0.0003672703,0.00009325471,0.00006740051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005897046,"about_ca_system_score_gemma":0.0003974705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03470961,"about_ca_topic_score_gemma":0.1101657,"domain_scores_codex":[0.9998796,0.00002270159,0.00001325745,0.00003547692,0.00001796498,0.00003092411],"domain_scores_gemma":[0.9997175,0.00004978973,0.0001122137,0.00001409765,0.00003439348,0.0000718724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003516172,0.00002629055,0.9930936,0.00001476316,0.00001771751,0.00009439021,0.0006170419,0.00009062817,0.001983698,0.00007367344,0.00003776993,0.003915234],"study_design_scores_gemma":[0.000001761695,0.000009058754,0.9993157,0.000003047785,0.000004510619,0.00004570124,0.0003112023,0.0001599867,0.00004943594,0.00001501274,0.0000831889,0.000001370048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996914,0.00003796061,0.00003050616,0.00001144175,2.937663e-7,0.000003209839,0.0000677472,0.000002174389,0.0001553652],"genre_scores_gemma":[0.9997118,0.00003761299,0.00006704549,0.000005938392,9.39901e-7,0.000003168837,0.00009625847,9.561437e-7,0.00007625217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03470961,"threshold_uncertainty_score":0.06901515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005660857555795854,"score_gpt":0.1796150463390421,"score_spread":0.1739541887832462,"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."}}