{"id":"W2385538839","doi":"","title":"Hydrogeochemical characteristics in the arsenic poisoning area in western Jilin Province","year":2009,"lang":"en","type":"article","venue":"","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Arsenic; Groundwater; Environmental chemistry; Arsenic contamination of groundwater; Arsenic poisoning; Field survey; Chemistry; Aquifer; Environmental science; Mineralogy; Hydrology (agriculture); Geology; 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":[0.0001598395,0.0001477586,0.0001734737,0.001095647,0.0005683405,0.0002449721,0.0001228464,0.0001040329,0.000641598],"category_scores_gemma":[0.0002659677,0.0002085744,0.00008579416,0.001193149,0.0003215279,0.0001682435,0.000214284,0.0000946879,0.00006154833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000731049,"about_ca_system_score_gemma":0.0005740561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05346497,"about_ca_topic_score_gemma":0.114962,"domain_scores_codex":[0.9998893,0.00001772337,0.00001543553,0.00002634602,0.0000250401,0.00002626599],"domain_scores_gemma":[0.9997962,0.00002543812,0.00007770633,0.000009857229,0.00004975306,0.00004115381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005724015,0.00004131343,0.9910834,0.00002552181,0.00001530613,0.0003426585,0.00101132,0.0001453685,0.003813105,0.00005113807,0.0001067201,0.00330695],"study_design_scores_gemma":[0.000002146318,0.00002722543,0.9989948,0.000001731251,0.000003194,0.00006662212,0.0005481326,0.00009869869,0.00009975303,0.000006574145,0.0001496522,0.000001526951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998166,0.00001163677,0.00001352098,0.000005005441,3.673796e-7,0.000002889389,0.00004728856,0.000001140175,0.0001016768],"genre_scores_gemma":[0.9995055,0.00003976554,0.0000726369,0.000005221807,0.000001406078,0.000007258616,0.0001520895,5.052582e-7,0.000215499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05346497,"threshold_uncertainty_score":0.1063076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01257269656880494,"score_gpt":0.2319042351426095,"score_spread":0.2193315385738046,"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."}}