{"id":"W4310142612","doi":"10.1016/j.scitotenv.2022.160532","title":"Impacts of soil, climate, and phenology on retention of dissolved agricultural nutrients by permanent-cover buffers","year":2022,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Canada First Research Excellence Fund; University of Guelph","keywords":"Nutrient; Environmental science; Soil water; Agronomy; Phosphorus; Hydrology (agriculture); Biomass (ecology); Water quality; Surface runoff; Groundwater; Surface water; Soil science; Ecology; Chemistry; Environmental engineering; Geology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005092463,0.0002893382,0.0003638123,0.0002906498,0.0006304042,0.001378803,0.0009038308,0.0005479946,0.002608077],"category_scores_gemma":[0.001481961,0.0002219801,0.0004199636,0.0003721996,0.0008979368,0.001019772,0.001029503,0.0003103163,0.0001253929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001828314,"about_ca_system_score_gemma":0.001160156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0175711,"about_ca_topic_score_gemma":0.03090288,"domain_scores_codex":[0.9997904,0.00004647399,0.00001090216,0.00005175676,0.00001415054,0.0000863712],"domain_scores_gemma":[0.9985771,0.0007052574,0.0001828527,0.00006663956,0.0000961,0.0003720265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01141146,0.00159063,0.7039923,0.0002888959,0.0007286872,0.0009509153,0.0008787256,0.06743477,0.1771515,0.004717054,0.001007963,0.02984705],"study_design_scores_gemma":[0.0003056581,0.002631008,0.8860037,0.00002974302,0.0004834139,0.00025566,0.001977842,0.08622947,0.01858551,0.002099912,0.001336908,0.00006114267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996179,0.000034454,0.00007534933,0.00001795697,0.000002540773,0.000001217141,0.00004460244,0.00000410379,0.0002018538],"genre_scores_gemma":[0.9996641,0.0000239517,0.00005522785,0.000009440823,0.000001389815,0.000001694069,0.00004877979,0.000002432195,0.0001928938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0175711,"threshold_uncertainty_score":0.03493762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005362490058782707,"score_gpt":0.1824144934266585,"score_spread":0.1770520033678758,"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."}}