{"id":"W2040602871","doi":"10.1007/s12665-014-3167-z","title":"Advanced aquifer characterization for optimization of managed aquifer recharge","year":2014,"lang":"en","type":"article","venue":"Environmental Earth Sciences","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Schlumberger (Canada)","funders":"","keywords":"Aquifer; Hydrogeology; Groundwater recharge; Geology; Phreatic; Groundwater; Well logging; Borehole; Vadose zone; Groundwater flow; Groundwater model; Hydraulic conductivity; Petrophysics; Aquifer properties; Specific storage; Aquifer test; Geophysics; Hydrology (agriculture); Soil science; Porosity; Geotechnical engineering","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":[0.0004139322,0.0002919473,0.0003029223,0.0005393866,0.0003095663,0.0005096219,0.0003459253,0.0002782349,0.001810087],"category_scores_gemma":[0.000504241,0.0001467056,0.0001947452,0.0005480815,0.0001172281,0.0006822434,0.0002437678,0.0001462909,0.000150749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000592342,"about_ca_system_score_gemma":0.0006912272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007273743,"about_ca_topic_score_gemma":0.01452706,"domain_scores_codex":[0.9998527,0.00002583653,0.000009149381,0.00002772796,0.0000584534,0.00002618462],"domain_scores_gemma":[0.9998016,0.00004419126,0.00003154141,0.00001877607,0.00009330272,0.00001060817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005780977,0.0002178462,0.02769386,0.0001848352,0.00004939664,0.0001031712,0.0001812467,0.1354516,0.7252638,0.0008240673,0.000879019,0.1085733],"study_design_scores_gemma":[0.0000443642,0.0003801504,0.04320787,0.00001690113,0.00006157163,0.00005639675,0.0002909798,0.5671023,0.3832723,0.001456038,0.004064832,0.00004636134],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.916223,0.0001634548,0.0788238,0.0001200863,0.000008585732,0.00006404989,0.0008803573,0.0005377007,0.003178942],"genre_scores_gemma":[0.9847055,0.00005529019,0.01440509,0.000008996519,0.000002235367,0.00001965137,0.0002263379,0.00002208034,0.0005548198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007273743,"threshold_uncertainty_score":0.01446277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006655496398226341,"score_gpt":0.2626535465761528,"score_spread":0.2559980501779265,"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."}}