{"id":"W4409277687","doi":"10.36922/ajwep.8142","title":"Assessment of groundwater quality in Patna district, Bihar, India, using the Water Quality Index method (Canadian Council of Ministers of the Environment method)","year":2025,"lang":"en","type":"article","venue":"Asian Journal of Water Environment and Pollution","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Groundwater; Council of Ministers; Quality (philosophy); Water quality; Water resource management; Index method; Environmental science; Engineering; Business; Computer science; Biology; Geotechnical engineering; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007008577,0.0002491342,0.0005440668,0.0001435859,0.0001668472,0.00002438391,0.0004306662,0.0001476694,0.0004847487],"category_scores_gemma":[0.00001674059,0.0001200861,0.0002421527,0.0001426258,0.0005602588,0.0002371629,0.0002874376,0.0003278617,0.000002690595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519176,"about_ca_system_score_gemma":0.0001382266,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01394517,"about_ca_topic_score_gemma":0.001249145,"domain_scores_codex":[0.9947817,0.001991651,0.001562694,0.0002722193,0.0009953642,0.0003963713],"domain_scores_gemma":[0.9986354,0.00006796538,0.0006952282,0.0004598679,0.0000163537,0.0001252608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002047438,0.0006988516,0.6979738,0.0001979871,0.0003183647,0.000005719447,0.01567041,0.01473591,0.2549187,0.000688048,0.00005972688,0.0145277],"study_design_scores_gemma":[0.001045228,0.0001592077,0.9254165,0.00007312155,0.0001260648,0.000009575695,0.001444048,0.0003298472,0.06532565,0.001203492,0.004679485,0.0001877901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955912,0.00004952566,0.03799641,0.004515311,0.0002108283,0.0004172374,0.0000610971,0.000001809144,0.0008358033],"genre_scores_gemma":[0.9951006,0.00004312406,0.004322014,0.0002031789,0.00001652711,0.000005920263,0.000005779706,0.000009936359,0.0002929528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2274426,"threshold_uncertainty_score":0.9926211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04311070517068352,"score_gpt":0.3184834192856853,"score_spread":0.2753727141150018,"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."}}