{"id":"W3157238443","doi":"10.1016/j.jhydrol.2021.126348","title":"Application of electrical sounding to determine the spatial distribution of groundwater quality in the coastal area of Jiangsu Province, China","year":2021,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Shaanxi Provincial Science and Technology Department; National Natural Science Foundation of China; Ministry of Natural Resources; China Geological Survey; Natural Science Foundation of Jilin Province","keywords":"Aquifer; Groundwater; Hydrogeology; Hydrology (agriculture); Vertical electrical sounding; Geology; Saltwater intrusion; Water quality; Groundwater flow; Brackish water; Environmental science; MODFLOW; Salinity; Oceanography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001101263,0.00006313139,0.0002896819,0.00004596133,0.00003126493,0.000005697704,0.0002160246,0.00005060099,0.00003307468],"category_scores_gemma":[0.0003682475,0.00003215153,0.00009559208,0.0003877473,0.00008236671,0.00004773294,0.00001402508,0.0002133433,0.0000011859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003824837,"about_ca_system_score_gemma":0.00006305218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001923263,"about_ca_topic_score_gemma":0.001938002,"domain_scores_codex":[0.9984305,0.0005570378,0.0005233572,0.00008784892,0.0002478729,0.0001533647],"domain_scores_gemma":[0.9987614,0.0006293111,0.000370136,0.0001113499,0.00009182197,0.00003600549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001337916,0.0006456726,0.5199049,0.00007040834,0.00006580312,0.00003328655,0.0006790475,0.004539292,0.02454385,0.0010079,0.00007821641,0.4470937],"study_design_scores_gemma":[0.0002286969,0.001091266,0.9800285,0.000005715379,0.00002217412,0.00007436876,0.00002300991,0.007341499,0.004413088,0.006389232,0.0003433092,0.00003921609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724833,0.00006953575,0.02586553,0.001336317,0.00005931898,0.00009194538,0.00001437547,8.596491e-7,0.00007885506],"genre_scores_gemma":[0.9995281,0.000006358555,0.0002750084,0.00008826236,0.00007644892,6.256999e-7,0.00001554321,9.176128e-7,0.000008726683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4601235,"threshold_uncertainty_score":0.2907411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01559507179477243,"score_gpt":0.2638240588443501,"score_spread":0.2482289870495777,"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."}}