{"id":"W4251542880","doi":"10.5194/hess-2018-31","title":"Sources and fate of nitrate in groundwater at agricultural operations overlying glacial sediments","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Agriculture and Forestry","keywords":"Denitrification; Groundwater; Nitrate; Environmental science; Leaching (pedology); Surface runoff; Manure; Hydrology (agriculture); Aquifer; Environmental chemistry; Nitrogen; Soil science; Geology; Soil water; Ecology; Chemistry; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00008307915,0.0002022995,0.0001295062,0.0003443801,0.0005554665,0.0004861878,0.0002444175,0.0001964735,0.000471644],"category_scores_gemma":[0.0001471255,0.0001256688,0.0001500017,0.0004947308,0.0003472839,0.0001143343,0.0001965674,0.0001313563,0.00004715494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002490778,"about_ca_system_score_gemma":0.001452497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4617011,"about_ca_topic_score_gemma":0.6078616,"domain_scores_codex":[0.9999561,0.000002644771,0.000001846309,0.00001286368,0.000013024,0.00001358835],"domain_scores_gemma":[0.9999509,0.000005940384,0.000008458235,0.000002402001,0.00001962554,0.00001263875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006437509,0.00008837139,0.7066491,0.0001136318,0.00007373228,0.0006459731,0.001113634,0.04318937,0.2222233,0.0004919871,0.0003052559,0.02446195],"study_design_scores_gemma":[0.00003711159,0.0001596621,0.921773,0.00002275372,0.00005586661,0.0001337036,0.001301563,0.04477749,0.03019577,0.0002978867,0.001207478,0.00003769285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992155,0.00003875123,0.0002428053,0.000008182987,0.000001241973,0.000003286311,0.0001388291,0.00001701028,0.0003344235],"genre_scores_gemma":[0.9990785,0.0000375636,0.0004600645,0.000004452342,4.54501e-7,0.000002041902,0.0001522474,0.00000225179,0.0002624025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4617011,"threshold_uncertainty_score":0.9180273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630798238765791,"score_gpt":0.2165622150852704,"score_spread":0.2002542326976125,"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."}}