{"id":"W4385241667","doi":"10.1080/23570008.2023.2237278","title":"Groundwater quality evaluation for drinking purpose using water quality index in Kathmandu Valley, Nepal","year":2023,"lang":"en","type":"article","venue":"Water Science","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nepal Academy of Science and Technology; International Development Research Centre","keywords":"Turbidity; Groundwater; Water quality; Environmental science; Nitrate; Chloride; Total dissolved solids; Hydrology (agriculture); Environmental chemistry; Environmental engineering; Chemistry; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002985095,0.0001283647,0.0002019961,0.0007719406,0.0004149187,0.0006483535,0.0001933427,0.000236486,0.0003482057],"category_scores_gemma":[0.0005312255,0.00009495183,0.0001833155,0.001064994,0.0001797664,0.0002488372,0.0003778314,0.0001618227,0.0000696272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003876553,"about_ca_system_score_gemma":0.0005771798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01116044,"about_ca_topic_score_gemma":0.02360229,"domain_scores_codex":[0.9997376,0.00005767657,0.00002859293,0.00003554157,0.0001116765,0.00002890576],"domain_scores_gemma":[0.9998376,0.00002998177,0.00004202491,0.000008545674,0.00006807228,0.00001370895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000131014,0.0002315625,0.8967048,0.0002131395,0.0001346308,0.0008713829,0.002196378,0.001344888,0.03342954,0.000371572,0.0006375514,0.06373357],"study_design_scores_gemma":[0.000008320988,0.000357779,0.9799283,0.00003515301,0.00007400943,0.0007762074,0.002802917,0.005113275,0.008458496,0.0003199304,0.002098866,0.00002683531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980178,0.0001389868,0.0005434756,0.00004074048,0.000001710656,0.00001940929,0.0002107304,0.00001067858,0.001016457],"genre_scores_gemma":[0.9978687,0.0001108592,0.001348789,0.00002266129,0.000001064967,0.00003074259,0.0002746331,0.000001850915,0.0003408119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01116044,"threshold_uncertainty_score":0.02219093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.150961551097769,"score_gpt":0.4062613894197836,"score_spread":0.2552998383220146,"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."}}