{"id":"W4413747386","doi":"10.1016/j.agwat.2025.109764","title":"Controlled drainage – Effects on nutrient attenuation and water quality – A field study in Eastern Ontario, Canada","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Water quality; Drainage; Environmental science; Attenuation; Nutrient; Hydrology (agriculture); Field (mathematics); Geology; Geotechnical engineering; Ecology; Biology; Mathematics","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":[0.0004232789,0.000328819,0.0003614453,0.0005016536,0.003899017,0.0007333052,0.0009981623,0.0003680994,0.001138604],"category_scores_gemma":[0.000637461,0.0003183156,0.0003173817,0.001177625,0.00170657,0.0004006756,0.0004837273,0.0005195888,0.0001837099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02891673,"about_ca_system_score_gemma":0.02117051,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9849684,"about_ca_topic_score_gemma":0.9966293,"domain_scores_codex":[0.9994319,0.00004507524,0.00002090548,0.0001331107,0.0001873659,0.0001816772],"domain_scores_gemma":[0.9987577,0.0001256918,0.0001509413,0.00004943586,0.0005901716,0.0003260164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00242239,0.005063341,0.8183595,0.0004601132,0.0001928214,0.003260184,0.02405928,0.002043902,0.08585015,0.0006840521,0.004422364,0.05318185],"study_design_scores_gemma":[0.00004616218,0.0007012236,0.9875894,0.00001619944,0.00002467648,0.00009664485,0.006186553,0.0007234583,0.00131836,0.00005058077,0.003214887,0.00003187058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984535,0.00005987221,0.0001028924,0.00006420154,0.000002756471,0.00008633381,0.0002372965,0.000006262487,0.000986957],"genre_scores_gemma":[0.9941136,0.0001779703,0.0008575398,0.0001432023,0.00000421487,0.00005816391,0.0004645167,0.000007082969,0.004173546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02891673,"threshold_uncertainty_score":0.2098065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004649744059575731,"score_gpt":0.2026316531811717,"score_spread":0.197981909121596,"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."}}