{"id":"W2024735194","doi":"10.1016/j.jconhyd.2012.04.006","title":"Testing high resolution numerical models for analysis of contaminant storage and release from low permeability zones","year":2012,"lang":"en","type":"article","venue":"Journal of Contaminant Hydrology","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":112,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Strategic Environmental Research and Development Program","keywords":"Hydrogeology; Aquifer; Permeability (electromagnetism); Plume; Advection; MODFLOW; Soil science; Geology; Environmental science; Groundwater; Geotechnical engineering; Mechanics; Groundwater flow; Chemistry; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009881809,0.0001739035,0.0007649545,0.0001500916,0.0001405747,0.00001153788,0.0001582406,0.0001104939,0.00006812221],"category_scores_gemma":[0.0002898943,0.0001347306,0.0001804113,0.0002816473,0.0002678447,0.0004750201,0.0001189782,0.0001434033,0.000002688178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001438912,"about_ca_system_score_gemma":0.00001743584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001030576,"about_ca_topic_score_gemma":0.0001760097,"domain_scores_codex":[0.9981862,0.0002112669,0.0007503573,0.0002207265,0.0002804776,0.0003509629],"domain_scores_gemma":[0.9981296,0.0007347219,0.0006954557,0.0001793303,0.0001156623,0.0001452405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008503233,0.0007587807,0.9133744,0.00003718301,0.001041563,0.00002595122,0.003924221,0.01096614,0.02645364,0.0007257627,0.0001504907,0.04169158],"study_design_scores_gemma":[0.001029604,0.0006067982,0.8828074,0.0000177657,0.001191738,0.00002913028,0.0002773619,0.1123735,0.0004579233,0.0003679474,0.0006817468,0.0001590531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.799237,0.0004002562,0.1998218,0.0001640479,0.0001760794,0.0001319467,0.00002965248,0.000005357514,0.00003390159],"genre_scores_gemma":[0.9965654,0.00002684112,0.003127891,0.0000839685,0.00008507774,0.00001197917,0.000007637268,0.000009775667,0.00008141653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1973284,"threshold_uncertainty_score":0.5494152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02174853563792363,"score_gpt":0.243956564963766,"score_spread":0.2222080293258424,"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."}}