{"id":"W7124433821","doi":"10.58475/2025.63.4.1147","title":"GROUND WATER QUALITY ASSESSMENT USING WATER QUALITY INDEX: CASE STUDY OF AYUB AGRICULTURE RESEARCH INSTITUTE, FAISALABAD, PAKISTAN","year":2025,"lang":"","type":"article","venue":"Journal of Agricultural Research","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alberta Agricultural Research Institute","keywords":"Water quality; Agriculture; Irrigation; Groundwater; Soil water; Hydrology (agriculture); Range (aeronautics); Farm water","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":[0.0004841886,0.0005358147,0.0002897188,0.001026629,0.002007322,0.0009228653,0.0005688884,0.0009581731,0.001294309],"category_scores_gemma":[0.0007809816,0.0002415262,0.0003217821,0.001767181,0.001109931,0.000660852,0.0005628979,0.0005775474,0.0002328919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604633,"about_ca_system_score_gemma":0.001977682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04771718,"about_ca_topic_score_gemma":0.0714966,"domain_scores_codex":[0.9994453,0.0001301445,0.00003210599,0.0001020139,0.0001274083,0.0001631499],"domain_scores_gemma":[0.9991793,0.0002421513,0.000156547,0.00005488313,0.0001829439,0.0001841874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005897326,0.001992454,0.7429026,0.0003484269,0.0001186202,0.1501511,0.01768163,0.009198614,0.009961947,0.001616319,0.003962267,0.06147637],"study_design_scores_gemma":[0.0001021941,0.002982698,0.8311829,0.0001134555,0.0001310302,0.03627234,0.09348118,0.01309478,0.009642795,0.001198628,0.01165516,0.0001428578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973677,0.00006981479,0.0004649738,0.0002790983,0.000004889096,0.00004135107,0.0001023671,0.00001060364,0.00165923],"genre_scores_gemma":[0.9979297,0.0002232752,0.0007946428,0.00005086262,0.000009325337,0.00001235288,0.00009505561,0.000003884777,0.0008809532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04771718,"threshold_uncertainty_score":0.09487885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2738746393907334,"score_gpt":0.530779078177599,"score_spread":0.2569044387868655,"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."}}