{"id":"W2342111840","doi":"10.1002/hyp.10871","title":"Seasonal and event‐based drivers of runoff and phosphorus export through agricultural tile drains under sandy loam soil in a cool temperate region","year":2016,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Wilfrid Laurier University; University of Waterloo","funders":"Agricultural Adaptation Council; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Environmental science; Surface runoff; Tile drainage; Loam; Hydrology (agriculture); Biogeochemical cycle; Soil water; Water content; Field capacity; Antecedent moisture; Soil science; Runoff curve number; Ecology; Environmental chemistry; Geology; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007850755,0.0001472091,0.0001807366,0.0000137173,0.0000678113,0.00001470909,0.000100075,0.0001013245,0.00004375275],"category_scores_gemma":[0.00004009491,0.00007753158,0.00002347395,0.0001775679,0.0004862261,0.0002377544,0.0001041622,0.00006847213,0.000008480284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004314732,"about_ca_system_score_gemma":0.00001459165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006641924,"about_ca_topic_score_gemma":0.00002919212,"domain_scores_codex":[0.9990274,0.00003281723,0.0001771184,0.000342939,0.0001860792,0.0002336281],"domain_scores_gemma":[0.9996797,0.00007864714,0.00007642933,0.00007771479,0.0000138774,0.00007359056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001771143,0.0001827499,0.9955869,0.00003674383,0.000006417476,0.00001548679,0.0003564029,0.000942448,0.001558765,0.0000427921,0.0002504335,0.0008437769],"study_design_scores_gemma":[0.002268813,0.0004805565,0.9806157,0.0001060261,0.00002208067,0.00004028892,0.0002085685,0.001973222,0.005228972,0.007929482,0.0007759045,0.0003504231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982396,0.0001520328,0.0002684568,0.0007905873,0.00002402905,0.0001370727,0.000007918107,0.00002732128,0.0003529779],"genre_scores_gemma":[0.9992153,0.0003117888,0.00006261767,0.0002569642,0.0000137771,0.00001862623,0.000006544011,0.000005279251,0.0001091029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01497121,"threshold_uncertainty_score":0.3161646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302490360476891,"score_gpt":0.2132627935148755,"score_spread":0.2002378899101066,"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."}}