{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009363134,0.00007282932,0.00009641636,0.00001392761,0.0002673011,0.000003570445,0.0001014751,0.00001359875,0.002943292],"category_scores_gemma":[0.000003304589,0.00004412131,0.00003216871,0.00001711569,0.00005376614,0.00004080519,0.0002984493,0.00003903643,0.00002517361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000270419,"about_ca_system_score_gemma":0.00001436589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.371384,"about_ca_topic_score_gemma":0.5470707,"domain_scores_codex":[0.9989616,0.00009277536,0.0001347478,0.0001591828,0.0004163738,0.0002353171],"domain_scores_gemma":[0.9998249,0.000006577998,0.00002386896,0.0001113826,0.00001519308,0.00001811165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001823174,0.0001603145,0.05356575,0.00003888472,0.0003595023,0.000008228217,0.03499957,0.6247292,0.2705204,0.000005775741,0.01201756,0.003412412],"study_design_scores_gemma":[0.005907857,0.0004372302,0.005251425,0.00001092109,0.001386472,0.00001052958,0.04707836,0.1079995,0.7372973,0.006028562,0.08753566,0.001056201],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980271,0.000008407843,0.0000991348,0.0008705453,0.0001998155,0.0002995188,0.00001771958,0.000006344789,0.0004714473],"genre_scores_gemma":[0.9961666,1.410391e-7,0.00004727987,0.0003908076,0.00001368414,0.00008846497,0.00002450971,0.000007688169,0.003260765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5167298,"threshold_uncertainty_score":0.9979681,"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."}}