{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002765341,0.0000784165,0.0001469177,0.0003669917,0.0002448392,0.0003463233,0.00008747021,0.0001224811,0.0005669186],"category_scores_gemma":[0.0006126416,0.00007230059,0.0001744606,0.0003858219,0.0003582187,0.0002122178,0.0002561163,0.00008919687,0.00005392005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002478586,"about_ca_system_score_gemma":0.0001783147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004815818,"about_ca_topic_score_gemma":0.01078882,"domain_scores_codex":[0.9998779,0.00004112634,0.00001201589,0.00003112887,0.00001423882,0.00002363253],"domain_scores_gemma":[0.9996777,0.0001104793,0.0001169453,0.00002254268,0.0000262388,0.00004625599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000142996,0.00003928818,0.9753399,0.00001766472,0.00005039457,0.0001156825,0.0002150382,0.0007749342,0.01961205,0.00005139493,0.00005165083,0.00358899],"study_design_scores_gemma":[7.86363e-7,0.00001179623,0.9993498,5.539048e-7,0.000003758167,0.00002031871,0.00004608146,0.0003335329,0.000175336,0.00001608718,0.00004105314,8.651486e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998289,0.00001533714,0.00004804561,0.000002957393,3.427386e-7,6.338053e-7,0.00003979222,0.000001563286,0.00006228971],"genre_scores_gemma":[0.9997866,0.00001606988,0.00005396607,0.00000279172,0.000001144494,0.000001649764,0.00009373637,7.424285e-7,0.00004333464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004815818,"threshold_uncertainty_score":0.009575546,"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."}}