{"id":"W4384342948","doi":"10.1002/jeq2.20502","title":"Trade‐offs in nutrient and sediment losses in tile drainage from no‐till versus conventional conservation‐till cropping systems","year":2023,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Ministry of Agriculture, Food and Rural Affairs; Toronto and Region Conservation Authority; University of Waterloo","funders":"Environment and Climate Change Canada; Ministry of Agriculture, Food and Rural Affairs; Agriculture and Agri-Food Canada; Ontario Ministry of Agriculture, Food and Rural Affairs; Government of Canada","keywords":"Tile drainage; Environmental science; Tillage; Drainage; Cover crop; Water quality; Hydrology (agriculture); No-till farming; Fertilizer; Agronomy; Soil water; Soil fertility; Soil science; Ecology; Agroforestry; 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":[0.0003206713,0.0001878646,0.0002019416,0.0004345758,0.0002886384,0.0006805738,0.0003348307,0.0001467609,0.0005669181],"category_scores_gemma":[0.000658047,0.00011448,0.000182279,0.000540779,0.000524129,0.0003550886,0.0003848086,0.0001273978,0.0000860438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532995,"about_ca_system_score_gemma":0.0006907518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01207922,"about_ca_topic_score_gemma":0.03966648,"domain_scores_codex":[0.9996816,0.00005714632,0.00003180659,0.00008392414,0.00006536829,0.00008013888],"domain_scores_gemma":[0.9993809,0.00007513352,0.0002121981,0.00004453033,0.00007956057,0.0002075692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006485523,0.0009480634,0.6305604,0.0002492031,0.0003352362,0.000671904,0.001026507,0.005351205,0.3226763,0.0005774213,0.000375281,0.03074288],"study_design_scores_gemma":[0.00005495219,0.001182696,0.9905831,0.000005646257,0.00003835048,0.00009389989,0.0003600443,0.001940126,0.005004697,0.00006878392,0.0006592889,0.000008462451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997393,0.00001248626,0.00004128001,0.000003070138,7.435816e-7,0.000004825484,0.00003014579,0.000002105058,0.0001660232],"genre_scores_gemma":[0.9994776,0.00002438003,0.0001732551,0.000007827735,0.00000164258,0.000009884413,0.0001454427,0.000001968312,0.0001579419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01207922,"threshold_uncertainty_score":0.02401781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02808268553888594,"score_gpt":0.2615799493300962,"score_spread":0.2334972637912103,"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."}}