{"id":"W2312839808","doi":"10.2166/wst.2011.760","title":"Application of nitrogen and phosphorus criteria for streams in agricultural landscapes","year":2011,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Agriculture and Agri-Food Canada; Environment and Climate Change Canada","funders":"U.S. Environmental Protection Agency","keywords":"Ecoregion; Eutrophication; Environmental science; Water quality; Agriculture; Aquatic ecosystem; STREAMS; Nutrient; Environmental resource management; Nonpoint source pollution; Watershed; Baseline (sea); Phosphorus; Environmental protection; Business; Environmental economics; Ecology; Computer science; Biology","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":[0.0001565807,0.00006840631,0.00009111539,0.0001217864,0.00006037804,0.000007827079,0.0003118834,0.00006166082,0.000007898518],"category_scores_gemma":[0.000007254303,0.00004199655,0.00001215661,0.0004059504,0.0005671937,0.0001680715,0.0002107061,0.00003712668,0.00001191207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003294568,"about_ca_system_score_gemma":0.000002722134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002208795,"about_ca_topic_score_gemma":0.00002928618,"domain_scores_codex":[0.999279,0.000003666266,0.0001267262,0.0002580155,0.00008368447,0.0002489264],"domain_scores_gemma":[0.9997817,0.000003416236,0.00003039418,0.0001448476,0.00001145374,0.00002814084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001065904,0.00004310645,0.929951,0.000003039352,7.151165e-7,4.334183e-7,0.000889449,0.000005251325,0.05703934,0.0006512316,0.000004933496,0.01140083],"study_design_scores_gemma":[0.0004043711,0.0002012532,0.1177292,0.000005674361,0.000006391259,0.00001472132,0.0005688015,0.003658624,0.7690204,0.1077305,0.0004968232,0.0001632437],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998489,0.00001556931,0.0006000447,0.0001451578,0.00003296091,0.0001842025,0.00000280448,0.00003341269,0.0004968731],"genre_scores_gemma":[0.9973077,0.000006523283,0.00259883,0.00001128192,0.000002827322,0.00005730497,0.000002936597,0.000002743622,0.000009862802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8122218,"threshold_uncertainty_score":0.2089849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0072313145125354,"score_gpt":0.2098215165230163,"score_spread":0.2025902020104809,"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."}}