{"id":"W2116664388","doi":"10.2166/wst.2001.0280","title":"Water quality response to riparian restoration in an agricultural watershed in Vermont, USA","year":2001,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Riparian zone; Environmental science; Watershed; Hydrology (agriculture); Nonpoint source pollution; Water quality; Surface runoff; Watershed management; Stream restoration; Total suspended solids; Detention basin; Environmental engineering; Water resource management; STREAMS; Stormwater; Sewage treatment; Ecology; Engineering; Chemical oxygen demand","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001850526,0.0001867565,0.0002005061,0.0007225329,0.0001897397,0.00008874715,0.0009672127,0.0001890214,0.00006734089],"category_scores_gemma":[0.00004633761,0.0001081571,0.00002322365,0.001739306,0.0007021992,0.001074545,0.0005484587,0.0002317232,0.0008037616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005586301,"about_ca_system_score_gemma":0.00001190557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001538877,"about_ca_topic_score_gemma":0.004212486,"domain_scores_codex":[0.9973159,0.0001467539,0.0003977422,0.0007720969,0.0004019086,0.000965574],"domain_scores_gemma":[0.9992556,0.000008636676,0.00002891417,0.0005429043,0.00002107984,0.0001428641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002204925,0.00008510706,0.6327926,7.198195e-7,2.978277e-7,0.00003609398,0.003141358,0.001014142,0.3620405,0.00003478656,0.000009097237,0.0006247456],"study_design_scores_gemma":[0.0006357687,0.0003223088,0.8224116,0.000007824631,0.000001482024,0.00002621732,0.0005180277,0.0006378378,0.1689028,0.003977191,0.002219662,0.0003392222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910128,0.000001205442,0.00008035911,0.007968862,0.0001629206,0.0002947673,0.00000103818,0.00009877731,0.0003792571],"genre_scores_gemma":[0.9990602,0.00000184373,0.0003445152,0.0002379577,0.00001178122,0.00005806719,0.000010233,0.000007494048,0.0002679068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1931377,"threshold_uncertainty_score":0.9999743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578096747701449,"score_gpt":0.2632021512729563,"score_spread":0.2474211837959418,"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."}}