{"id":"W2763759457","doi":"10.1002/2017wr020409","title":"Estimating the Spatial Extent of Unsaturated Zones in Heterogeneous River‐Aquifer Systems","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Aquifer; Clogging; Hydraulic conductivity; Vadose zone; Aquifer properties; Hydrology (agriculture); Geology; Flow (mathematics); Soil science; Monte Carlo method; Geotechnical engineering; Environmental science; Groundwater; Groundwater recharge; Geography; Soil water; Geometry; Mathematics","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":[0.0004609679,0.0001970683,0.000237835,0.001034178,0.0002743137,0.0004069874,0.0003182294,0.0002492406,0.000334335],"category_scores_gemma":[0.002020279,0.0001969693,0.0001606426,0.0006734969,0.0003714515,0.0003242031,0.0004254106,0.000136402,0.00002628319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006058132,"about_ca_system_score_gemma":0.0003178835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01001967,"about_ca_topic_score_gemma":0.009585924,"domain_scores_codex":[0.9998561,0.0000350464,0.00001142322,0.00004571863,0.00002073986,0.00003086699],"domain_scores_gemma":[0.9985145,0.0008327243,0.0003646526,0.0001008212,0.0001125974,0.00007474576],"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":[0.00008688566,0.00004173342,0.113235,0.00002304956,0.00002938064,0.0000655808,0.00005787728,0.8694867,0.01140168,0.0008311315,0.00003229535,0.004708608],"study_design_scores_gemma":[0.000007427414,0.00003273056,0.05072177,0.000004778243,0.00001347397,0.00001834523,0.0000494023,0.9432558,0.005197199,0.0006012722,0.00008147176,0.00001630938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942154,0.00001426732,0.005542382,0.00000354851,2.476247e-7,0.000004663801,0.00006270341,0.000021032,0.0001357926],"genre_scores_gemma":[0.9988211,0.000005364318,0.001118164,5.501004e-7,1.731158e-7,0.000002366773,0.00003601191,0.000001013505,0.0000153781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01001967,"threshold_uncertainty_score":0.01992267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04691952348283232,"score_gpt":0.3118601828885833,"score_spread":0.264940659405751,"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."}}