{"id":"W2189145247","doi":"","title":"Determination of water quality index of river Asa, Ilorin, Nigeria","year":2013,"lang":"en","type":"article","venue":"Advances in Applied Science Research","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbidity; Water quality; Environmental science; Index (typography); Nitrate; Hydrology (agriculture); Sampling (signal processing); Chemistry; Ecology; Geology; Computer science","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004995514,0.00007785763,0.0001584424,0.0002002631,0.0001358986,0.00002451696,0.0006487049,0.00004338819,0.001333811],"category_scores_gemma":[0.00007707503,0.00005714251,0.00002197067,0.0009497009,0.003407199,0.0008022453,0.0004563303,0.0001819318,0.0002967188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000224931,"about_ca_system_score_gemma":0.00003789637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001049865,"about_ca_topic_score_gemma":0.000146299,"domain_scores_codex":[0.9970948,0.0001711853,0.0004050211,0.0003478616,0.001484594,0.0004965363],"domain_scores_gemma":[0.9992865,0.0001349718,0.00008447815,0.0003397246,0.00006162541,0.00009272416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003798366,0.000215058,0.09502795,0.00006057979,0.000001037822,5.339726e-7,0.004046203,0.0008845576,0.7789981,0.004406168,0.00002315124,0.1162986],"study_design_scores_gemma":[0.0003814455,0.00008444084,0.3465192,0.0000185696,5.936823e-7,4.756829e-7,0.001045594,0.00126467,0.5997965,0.04857516,0.002152485,0.0001609278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651492,0.00001442765,0.002382645,0.0001478806,0.00005996895,0.0004108221,0.000002385947,0.000006774108,0.03182586],"genre_scores_gemma":[0.9957115,0.00004205742,0.003963111,0.00002051425,0.00000835194,0.00007282464,0.000001111233,0.000003508663,0.0001770232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2514912,"threshold_uncertainty_score":0.9995791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05891594325447305,"score_gpt":0.4154676689444519,"score_spread":0.3565517256899788,"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."}}