{"id":"W4205708507","doi":"10.3390/w14020249","title":"Evaluation of Soil Water Content Using SWAT for Southern Saskatchewan, Canada","year":2022,"lang":"en","type":"article","venue":"Water","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; University of Regina","keywords":"Soil and Water Assessment Tool; Environmental science; SWAT model; Water content; Soil water; Calibration; Hydrology (agriculture); Streamflow; Drainage basin; Soil science; Mathematics; Geography; Statistics; Geology","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":[0.0004715444,0.0006867085,0.000290323,0.001327542,0.0008618187,0.0009531157,0.0007122674,0.0002743074,0.004364655],"category_scores_gemma":[0.0009644075,0.0003135315,0.0003946341,0.002799082,0.0002688837,0.0004624182,0.0003464866,0.0002906603,0.001122571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01191233,"about_ca_system_score_gemma":0.01603548,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9819769,"about_ca_topic_score_gemma":0.9908324,"domain_scores_codex":[0.999705,0.00002102846,0.00001583571,0.00006979304,0.0001366939,0.00005153927],"domain_scores_gemma":[0.9988664,0.00004977771,0.00004933841,0.00004874487,0.0009193501,0.00006641267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003082969,0.0002044944,0.6880229,0.0002101524,0.0004195501,0.0005298227,0.0004769082,0.1218987,0.01686762,0.002146592,0.03161893,0.1372959],"study_design_scores_gemma":[0.0001017623,0.00003675129,0.702004,0.00009280142,0.0001170775,0.00007245144,0.0009335474,0.2600786,0.007797329,0.0004818441,0.02816193,0.0001219973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8945014,0.0003922363,0.01544559,0.0003175338,0.00004591015,0.0004091363,0.05443025,0.002168114,0.0322897],"genre_scores_gemma":[0.941989,0.0003671419,0.01866505,0.0001295399,0.000004829842,0.0002157246,0.02522102,0.0002842827,0.01312336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01802313,"threshold_uncertainty_score":0.08643043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04750802360648942,"score_gpt":0.2309550291456139,"score_spread":0.1834470055391245,"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."}}