{"id":"W3139120128","doi":"10.1029/2020wr029105","title":"Use of an Efficient Proxy Solution for the Hillslope‐Storage Boussinesq Problem in Upscaling of Subsurface Stormflow","year":2021,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Groundwater recharge; Geology; Hydrology (agriculture); Subsurface flow; Watershed; Outflow; Proxy (statistics); Hydraulic conductivity; Structural basin; Soil science; Geomorphology; Geotechnical engineering; Groundwater; Aquifer; Soil water; Computer science","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":[0.001500581,0.0004179785,0.0005810183,0.0003867445,0.0003691293,0.0009636782,0.0008302551,0.0009164006,0.0006258219],"category_scores_gemma":[0.004634161,0.0003059154,0.0003533156,0.0004259638,0.000530549,0.0008191659,0.0008474729,0.0006856028,0.0001111998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008131186,"about_ca_system_score_gemma":0.002055503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01012892,"about_ca_topic_score_gemma":0.005785189,"domain_scores_codex":[0.9996711,0.0001449639,0.00002214302,0.00004365673,0.00008341975,0.00003472979],"domain_scores_gemma":[0.9988985,0.0005350051,0.0001487971,0.0001478519,0.0002100846,0.00005976378],"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":[0.00003683072,0.00004277167,0.001627119,0.00002159837,0.00001117791,0.00005275858,0.00002470381,0.9825162,0.003696156,0.003388837,0.0001671211,0.008414804],"study_design_scores_gemma":[0.000002850271,0.000006243156,0.00005766533,0.000001045727,4.744448e-7,0.000002281585,0.000002416455,0.999295,0.0004581755,0.0001245268,0.00004798836,0.000001319903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2551361,0.00009204903,0.7416762,0.0003219169,0.00004879539,0.0001220703,0.0001286827,0.0005524775,0.001921792],"genre_scores_gemma":[0.851199,0.0000455306,0.1479673,0.00004191612,0.000009192974,0.0001163981,0.0001049931,0.00005792456,0.0004576094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01012892,"threshold_uncertainty_score":0.02013993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05707883854235506,"score_gpt":0.3026171342597139,"score_spread":0.2455382957173588,"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."}}