{"id":"W2742973188","doi":"10.1002/hyp.11303","title":"Inferring soil water movement and streamflow response in Canadian Prairie riparian areas using hydrologic state variables","year":2017,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrology (agriculture); Environmental science; Riparian zone; Surface runoff; Water table; Soil water; Antecedent moisture; Evapotranspiration; Drainage; Streamflow; Infiltration (HVAC); Hydraulic conductivity; Soil science; Geology; Groundwater; Drainage basin; Runoff curve number; Ecology; Geography","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":[0.0003698592,0.0002006283,0.0001529517,0.0007783808,0.0006090057,0.0005259464,0.0004506797,0.0001263324,0.0007207388],"category_scores_gemma":[0.001249403,0.0001574795,0.0002546313,0.001390183,0.0002914451,0.0002263357,0.0003363409,0.0001800828,0.00008729964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004952456,"about_ca_system_score_gemma":0.005058908,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9764665,"about_ca_topic_score_gemma":0.9929877,"domain_scores_codex":[0.9998054,0.00002341561,0.00000776473,0.00006114998,0.00004881173,0.00005343208],"domain_scores_gemma":[0.9993687,0.0001101818,0.00009686359,0.00004250805,0.0002876429,0.00009421366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000440851,0.00002696428,0.9832529,0.00001522995,0.00007288046,0.00003075591,0.0002176043,0.003176045,0.001443716,0.00009051809,0.0004126849,0.01121669],"study_design_scores_gemma":[0.000002210424,0.000005632138,0.995252,0.000003127373,0.000009636853,0.000005277373,0.0002024413,0.004122159,0.0001234994,0.00001719876,0.0002523226,0.000004517659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981276,0.00005155398,0.0002811601,0.00001912727,8.639358e-7,0.00001457108,0.0008626424,0.00001309443,0.0006292689],"genre_scores_gemma":[0.9981321,0.00005792063,0.0007701003,0.000008256771,6.045638e-7,0.000007236637,0.0007193132,0.000002673655,0.0003019776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02353346,"threshold_uncertainty_score":0.04734403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0220732898779998,"score_gpt":0.2439987857479437,"score_spread":0.2219254958699439,"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."}}