{"id":"W4313816648","doi":"10.1007/s10661-022-10854-7","title":"BRIDGE methodology–based quality standards to assess aquifer chemical status in the southwest Bengal Basin, Bangladesh","year":2023,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Deutscher Akademischer Austauschdienst","keywords":"Groundwater; Aquifer; Environmental science; Structural basin; Hydrology (agriculture); Water resource management; Groundwater pollution; Environmental engineering; Geology","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":[0.001662168,0.0001795282,0.0002038517,0.00005315402,0.0001617768,0.0001143881,0.0001904442,0.00007251104,0.0001913791],"category_scores_gemma":[0.00003290679,0.000135363,0.00004817538,0.0001516367,0.00008326629,0.00009576767,0.00004675536,0.0003019592,0.00003244315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005790774,"about_ca_system_score_gemma":0.00004557677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001290901,"about_ca_topic_score_gemma":0.00003838815,"domain_scores_codex":[0.9980109,0.0003319058,0.0002416888,0.0003739602,0.0005707034,0.0004707857],"domain_scores_gemma":[0.9991817,0.0003879955,0.00004018395,0.0002226071,0.000004576089,0.0001629397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002496884,0.0000350062,0.9832524,0.00001671039,0.000008854947,0.00002180622,0.0004904666,0.0001773403,0.006213027,0.000004425704,0.00007826283,0.0096767],"study_design_scores_gemma":[0.0003731997,0.00006975142,0.9872607,0.0000161007,0.000009472837,0.000003958775,0.002358568,0.000114849,0.006913473,0.00006032586,0.002638431,0.0001811991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978185,0.00005911729,0.0002205009,0.0003266505,0.0002805031,0.0001775563,0.000414341,0.00003619571,0.0006666759],"genre_scores_gemma":[0.9972627,0.00003251614,0.002092675,0.0001225942,0.0001806599,0.000015283,0.0002466167,0.000005896129,0.00004102118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0094955,"threshold_uncertainty_score":0.5519943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09138625721859837,"score_gpt":0.3476198427152347,"score_spread":0.2562335854966363,"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."}}