{"id":"W2475600076","doi":"10.1007/s12517-016-2608-2","title":"Modeling the effects of controlled drainage at a watershed scale using SWATDRAIN","year":2016,"lang":"en","type":"article","venue":"Arabian Journal of Geosciences","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of the Environment, Conservation and Parks; McGill University; University of Guelph","funders":"","keywords":"Drainage; Surface runoff; Hydrology (agriculture); Watershed; Environmental science; Water table; Surface water; Watertable control; Drainage basin; Geology; Soil water; Soil science; Groundwater; Geography; Ecology; Soil salinity; Environmental engineering; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003975249,0.0005771602,0.0006825809,0.0004497268,0.0005447281,0.0008735703,0.001110699,0.001101031,0.001844773],"category_scores_gemma":[0.001230086,0.000500463,0.0008224491,0.0006371773,0.0007972479,0.0008023324,0.0005155435,0.0006680813,0.0001292784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001662237,"about_ca_system_score_gemma":0.001582961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1275497,"about_ca_topic_score_gemma":0.1019247,"domain_scores_codex":[0.9997956,0.00004906397,0.00001244527,0.00005864124,0.00002929852,0.0000549351],"domain_scores_gemma":[0.9993113,0.0003653077,0.00006851913,0.00005407541,0.0001195672,0.00008121476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004260426,0.0000922871,0.00372746,0.00001099439,0.00002021439,0.00003314459,0.00001538001,0.9936662,0.0007272604,0.0003998346,0.0001591093,0.001105602],"study_design_scores_gemma":[0.00001434288,0.00001405678,0.0008607227,8.553098e-7,0.000007011865,0.000002379591,0.00001128103,0.9986046,0.0002820791,0.00009291024,0.0001058811,0.000003760092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923421,0.00007827852,0.0045658,0.0001492628,0.00002959997,0.00002267142,0.000430814,0.0001995175,0.002181987],"genre_scores_gemma":[0.996399,0.00005067546,0.002525252,0.00001819011,0.00000570718,0.00001655713,0.000216996,0.00002915136,0.0007383094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1275497,"threshold_uncertainty_score":0.2536144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009504706610819482,"score_gpt":0.2183845208046062,"score_spread":0.2088798141937867,"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."}}