{"id":"W2922337833","doi":"10.2134/jeq2018.07.0281","title":"Hydrological and Seasonal Controls of Phosphorus in Northern Great Plains Agricultural Streams","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University; Agriculture and Agri-Food Canada; University of Winnipeg","funders":"","keywords":"STREAMS; Snowmelt; Surface runoff; Environmental science; Hydrology (agriculture); Biogeochemical cycle; Storm; Spring (device); Discharge; Nutrient; Soil water; Streamflow; Ecology; Drainage basin; Geography; Biology; Geology; Soil science; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004447526,0.0001400129,0.0003405583,0.00002021514,0.00002527811,0.000009449729,0.0001618349,0.0000836023,0.0002126233],"category_scores_gemma":[0.00001510581,0.00009309625,0.0001100038,0.00005663302,0.0002177603,0.0002107973,0.0001286386,0.0002023879,0.00003674508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002115504,"about_ca_system_score_gemma":0.000003802168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009349293,"about_ca_topic_score_gemma":0.00004726877,"domain_scores_codex":[0.9985532,0.0001207552,0.0005201041,0.0001753946,0.0004327879,0.0001977648],"domain_scores_gemma":[0.9993335,0.00009120529,0.0003490465,0.0001082076,0.000002426522,0.0001156123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002047562,0.0003406151,0.9900838,0.000004214068,0.00001729428,0.00001196566,0.0002044949,0.0005370645,0.005109732,0.00001693434,0.000007941212,0.003461246],"study_design_scores_gemma":[0.001895792,0.0003545503,0.9958776,0.00001337511,0.00001312707,0.00004993774,0.0003284572,0.0002102415,0.0003852986,0.0005304955,0.0002216586,0.0001194616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990653,0.0001626187,0.000004910454,0.0001084482,0.00006740456,0.000121537,0.00003136497,0.000002562283,0.0004358877],"genre_scores_gemma":[0.9996254,0.0001207594,0.00009544955,0.00006502613,0.00001972866,0.000001061367,0.000005225884,0.000005392517,0.00006195085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005793863,"threshold_uncertainty_score":0.3796355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006752888774686252,"score_gpt":0.2103711997874677,"score_spread":0.2036183110127815,"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."}}