{"id":"W3164336405","doi":"10.35849/bjare202003001","title":"Evaluation of Water Quality Index of River Musa for Drinking Purpose in Bida, Nigeria","year":2021,"lang":"en","type":"article","venue":"BADEGGI JOURNAL OF AGRICULTURAL RESEARCH AND ENVIRONMENT","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water quality; Environmental science; Effluent; Dry season; Hydrology (agriculture); Index (typography); Environmental engineering; Wet season; Water resource management; Geography; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003374929,0.0002303228,0.0003477663,0.001346839,0.0004920599,0.0008278661,0.0001090913,0.0003015522,0.0003989822],"category_scores_gemma":[0.0003933475,0.000141517,0.0001694298,0.001273811,0.0001891097,0.0002673829,0.0002899493,0.0001479445,0.00007432113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003949527,"about_ca_system_score_gemma":0.0003511908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008326407,"about_ca_topic_score_gemma":0.02483562,"domain_scores_codex":[0.9997949,0.00003172967,0.00003159876,0.00003479861,0.00008156009,0.00002550778],"domain_scores_gemma":[0.9998084,0.00002759599,0.00005049762,0.000005792141,0.00008875617,0.00001895054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003002459,0.0002224925,0.9118806,0.0002081997,0.00009474209,0.0005741452,0.001212678,0.002091261,0.0445956,0.0002739911,0.0004365305,0.03810949],"study_design_scores_gemma":[0.000009044226,0.0002471771,0.9804698,0.00003737476,0.00005773224,0.0003058626,0.003286299,0.004990602,0.008406335,0.0002271236,0.001940425,0.00002226931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998188,0.0001639972,0.0003306229,0.00001844061,0.000004322845,0.00001760441,0.0001578606,0.000006638526,0.001112573],"genre_scores_gemma":[0.9983864,0.0001294456,0.000815595,0.000007272566,0.000001734183,0.0000143743,0.0001999199,0.000001976914,0.0004432309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008326407,"threshold_uncertainty_score":0.01655591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1268375925611134,"score_gpt":0.3788035296055034,"score_spread":0.25196593704439,"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."}}