{"id":"W2081314321","doi":"10.5539/mas.v7n4p77","title":"Modeling of Transient Groundwater Flow Using Fuzzy Approach","year":2013,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Water resources management and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fuzzy logic; Interval (graph theory); Hydraulic head; Mathematics; Uncertainty analysis; Transient (computer programming); Mathematical optimization; Groundwater flow; Fuzzy set; Applied mathematics; Computer science; Groundwater; Aquifer; Statistics; Geology; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003986539,0.0005455649,0.0006374527,0.0007215316,0.0004825688,0.0009036426,0.0009934428,0.0008981746,0.001008564],"category_scores_gemma":[0.0007278895,0.0002827389,0.001112777,0.0006141648,0.000528458,0.0009231559,0.0003646295,0.000522188,0.0001135561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009221279,"about_ca_system_score_gemma":0.0008936117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01389402,"about_ca_topic_score_gemma":0.006982894,"domain_scores_codex":[0.9998011,0.00004363935,0.0000149738,0.00004476536,0.00007078496,0.00002475039],"domain_scores_gemma":[0.9997835,0.0001145722,0.00003293459,0.00001169721,0.00004811156,0.000009219358],"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":[0.00001046549,0.000006573979,0.00023512,0.0000209361,0.000009010398,0.00004450135,0.00003157518,0.9883939,0.001191396,0.004607399,0.0000411926,0.005407931],"study_design_scores_gemma":[0.000001408686,0.00000710013,0.00005887357,0.000003349964,0.000003847986,0.000007593711,0.000005957394,0.9979306,0.0002523432,0.001559664,0.0001657289,0.000003591712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03267231,0.0002042213,0.9639654,0.0000760343,0.00001683978,0.00002955428,0.00007815679,0.0001505903,0.002806942],"genre_scores_gemma":[0.8944331,0.0005841888,0.1020646,0.00002638045,0.00002933993,0.0001210702,0.0001159837,0.00002064668,0.002604736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01389402,"threshold_uncertainty_score":0.02762628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871744017585801,"score_gpt":0.1863882718630511,"score_spread":0.1676708316871931,"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."}}