{"id":"W2223521521","doi":"10.1038/srep16328","title":"Global effects of agriculture on fluvial dissolved organic matter","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Federal de São João del-Rei; Universidad Austral de Chile; Ministerio de Economía y Competitividad; Agencia Nacional de Investigación e Innovación; Universidad de la República Uruguay; Canadian Institute for Advanced Research; Aarhus Universitet","keywords":"Biogeochemical cycle; Environmental science; Fluvial; Dissolved organic carbon; Temperate climate; Ecosystem; Organic matter; Biogeochemistry; Ecology; Agronomy; Hydrology (agriculture); Environmental chemistry; Chemistry; Biology; Geology; Structural basin","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00045176,0.0001112695,0.0001672677,0.00003920363,0.00008970941,0.0001209487,0.0001293325,0.00005193927,0.001003004],"category_scores_gemma":[0.00008552084,0.00007260676,0.00006174701,0.0004474939,0.00006606602,0.0001245786,0.00002437939,0.00005034838,0.0005030591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001013938,"about_ca_system_score_gemma":0.0001237234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000972593,"about_ca_topic_score_gemma":0.002803389,"domain_scores_codex":[0.9985423,0.00004756764,0.0002826486,0.0003862412,0.0005177431,0.0002235111],"domain_scores_gemma":[0.9991316,0.00002260971,0.0001755258,0.0003824254,0.00009174761,0.0001960569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002184672,0.00005067233,0.8535409,0.00007325275,0.00001626744,0.0003793796,0.0001979117,0.0001878404,0.0008994427,0.00001368104,0.1411361,0.003482685],"study_design_scores_gemma":[0.0005744026,0.0005069352,0.8576019,0.0001542166,0.00005701854,0.0007208549,0.0002860121,0.0004063065,0.0133318,0.008327066,0.1174546,0.0005789019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374053,0.00009960017,0.00001906345,0.00005939818,0.008776788,0.0002016951,0.000009517418,0.00002875439,0.05339992],"genre_scores_gemma":[0.9937076,3.409201e-7,0.00003084973,0.00004407256,0.0001092606,8.858662e-7,0.0001151707,0.000001693484,0.005990156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05630231,"threshold_uncertainty_score":0.9999102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005768876238182803,"score_gpt":0.1833617717168965,"score_spread":0.1775928954787137,"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."}}