{"id":"W2948412020","doi":"10.1051/e3sconf/20199801031","title":"Hydrogeochemistry of high-fluoride saline groundwater in the Yuncheng Basin, northern China","year":2019,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Groundwater; Fluoride; Aquifer; Soil salinity; Structural basin; Dissolution; Salinity; Saline water; Environmental science; Environmental chemistry; Hydrology (agriculture); Geology; Chemistry; Inorganic chemistry; Geomorphology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002717675,0.00006941427,0.000122908,0.00001729103,0.0000176457,0.000006901761,0.0002132061,0.00003795345,0.00279488],"category_scores_gemma":[0.00002177361,0.00004729529,0.00003209644,0.00009516151,0.0001206723,0.00009136585,0.00004253881,0.0000678073,0.00005282469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001993935,"about_ca_system_score_gemma":0.00005400767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002017449,"about_ca_topic_score_gemma":0.001489921,"domain_scores_codex":[0.9992942,0.00004390286,0.0002076735,0.0001239004,0.0002380305,0.00009231033],"domain_scores_gemma":[0.999642,0.00005391437,0.0001137908,0.0001625236,0.00001156175,0.00001624156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000148124,0.00009796731,0.9479785,0.00002010739,0.000007990158,9.958743e-7,0.001502388,0.00005141076,0.03752164,0.00246643,0.0001217891,0.01021597],"study_design_scores_gemma":[0.0005170664,0.00007360623,0.9072043,0.00003930588,0.000009869866,0.000002343089,0.001055396,0.0007776984,0.08331641,0.002211701,0.004674522,0.000117758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629443,0.00001476831,0.00002411732,0.0004986859,0.00004965271,0.0001058678,0.000002835819,0.000005343308,0.03635444],"genre_scores_gemma":[0.9993554,0.00001699151,0.00004265422,0.0000504075,0.00001241096,0.000004393738,0.00001457723,0.000002714651,0.0005004932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04579476,"threshold_uncertainty_score":0.9981167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005355895270450851,"score_gpt":0.197438987670406,"score_spread":0.1920830923999552,"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."}}