{"id":"W3022587741","doi":"","title":"Natural land cover in agricultural catchments alters flood effects on DOM composition and decreases nutrient levels in streams","year":2018,"lang":"en","type":"article","venue":"EGUGA","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Trent University","funders":"","keywords":"Environmental science; Dissolved organic carbon; Nutrient; Hydrology (agriculture); STREAMS; Land cover; Flood myth; Wetland; Land use; Agricultural land; Phosphorus; Ecology; Chemistry; Geography; Biology; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005799698,0.0001225313,0.0001124714,0.00003696245,0.00005148136,0.00002737705,0.00007698537,0.00004181239,0.00001476717],"category_scores_gemma":[0.000007284706,0.00008841466,0.00001857277,0.0001432181,0.00008230246,0.0001527134,0.00007296589,0.00008491184,0.00009499737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001745647,"about_ca_system_score_gemma":0.000002250392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007226932,"about_ca_topic_score_gemma":0.000142049,"domain_scores_codex":[0.9992034,0.00004738115,0.0001177833,0.0002411297,0.0001742186,0.0002160446],"domain_scores_gemma":[0.9997638,0.00004794673,0.00003115519,0.00008629973,0.000003367439,0.00006740173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005916554,0.0001467024,0.996431,0.000006734693,0.00000377616,0.00001529221,0.0004052354,0.00009879128,0.001707196,0.00001647966,0.0001312214,0.0009784279],"study_design_scores_gemma":[0.001640721,0.0001719231,0.9842984,0.00008287296,0.000005103349,0.000006745065,0.00002348285,0.0004258395,0.01266179,0.0004664068,0.00007648977,0.0001402386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989635,0.00001963514,0.000003051577,0.0000903793,0.0002118665,0.0002188397,0.000007267402,0.00001419667,0.0004712106],"genre_scores_gemma":[0.9995816,0.000006000835,0.00007127247,0.0001925448,0.00005073545,0.0000126027,0.00003651745,0.000005036887,0.00004374137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01213259,"threshold_uncertainty_score":0.3605445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00438121418412566,"score_gpt":0.2076425596538526,"score_spread":0.2032613454697269,"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."}}