{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001923072,0.0001830103,0.0001861129,0.0008026375,0.0004929698,0.0005360068,0.00007171254,0.0002306199,0.0003658432],"category_scores_gemma":[0.0002663757,0.0001349825,0.00009600441,0.000700643,0.0002066576,0.0002122882,0.0001970843,0.0001460392,0.000105345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002951248,"about_ca_system_score_gemma":0.0003235481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005422464,"about_ca_topic_score_gemma":0.01359576,"domain_scores_codex":[0.9998779,0.00001775244,0.00001799643,0.00002709865,0.00003909018,0.00002007521],"domain_scores_gemma":[0.9998999,0.00001364166,0.00002870211,0.000004204731,0.00004260546,0.00001103066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000175887,0.00009155188,0.9031958,0.0001220638,0.00003490634,0.0004672943,0.001597383,0.0005113846,0.0671051,0.0003080099,0.0003452246,0.02604538],"study_design_scores_gemma":[0.000007831391,0.0002262496,0.9767752,0.00004122686,0.00003956665,0.0005397419,0.003341093,0.001526732,0.01379714,0.0003015596,0.003388409,0.0000151263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979689,0.0001371817,0.000343469,0.00001920415,0.000004232862,0.00001005157,0.0001218713,0.000004164783,0.001390903],"genre_scores_gemma":[0.9981641,0.0001561935,0.0007746023,0.000009911232,0.00000217658,0.00001110901,0.0001962649,0.00000149272,0.0006841604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005422464,"threshold_uncertainty_score":0.01078182,"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."}}