{"id":"W3198554308","doi":"10.2166/ws.2021.286","title":"The applications of Canadian water quality index for ground and surface water quality assessments of Chilanchil Abay watershed: The case of Bahir Dar city waste disposal site","year":2021,"lang":"en","type":"article","venue":"Water Science & Technology Water Supply","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bahir Dar University","keywords":"Groundwater; Leachate; Surface water; Water quality; Environmental science; Biochemical oxygen demand; Wastewater; Hazardous waste; Sewage; Watershed; Hydrology (agriculture); Environmental engineering; Chemical oxygen demand; Waste management; Geology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004249271,0.0003472647,0.0002285298,0.001769246,0.0006436997,0.001053243,0.0003232164,0.0002526088,0.0006428154],"category_scores_gemma":[0.0005569389,0.0001089028,0.0002241431,0.002192612,0.0003398189,0.0002130533,0.0004702642,0.0002565665,0.00007579012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002887483,"about_ca_system_score_gemma":0.002237606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4150588,"about_ca_topic_score_gemma":0.6071236,"domain_scores_codex":[0.9996156,0.00004731531,0.00001973615,0.00004439609,0.0001776375,0.00009528313],"domain_scores_gemma":[0.9994367,0.00004760477,0.00008284165,0.00001488604,0.0003470818,0.00007100258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001327416,0.00008649995,0.9443192,0.0001194856,0.00006850277,0.001518054,0.001198714,0.004545283,0.01778665,0.0002968023,0.0008970094,0.02903101],"study_design_scores_gemma":[0.00001018355,0.00008659533,0.9757305,0.00002416805,0.00003857828,0.0001858188,0.00516969,0.01078289,0.005209526,0.00009045157,0.002647477,0.00002406572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960938,0.0001339464,0.0003980607,0.00007741142,0.000006188919,0.00004814938,0.0004185748,0.00001675933,0.002807152],"genre_scores_gemma":[0.9983414,0.0000755601,0.0009575438,0.0000122375,0.000001863422,0.0000171599,0.0001899302,0.000002098509,0.0004020074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4150588,"threshold_uncertainty_score":0.8252857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276431732663569,"score_gpt":0.2732673945145353,"score_spread":0.2605030771878996,"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."}}