{"id":"W2007104609","doi":"10.1007/s13201-013-0098-x","title":"Impact of pharmaceutical industry treated effluents on the water quality of river Uppanar, South east coast of India: A case study","year":2013,"lang":"en","type":"article","venue":"Applied Water Science","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water quality; Biochemical oxygen demand; Effluent; Chemical oxygen demand; Total dissolved solids; Environmental science; Outfall; Total suspended solids; Suspended solids; Environmental engineering; Pollution; Estuary; Pollutant; Hydrology (agriculture); Water pollution; Water resource management; Wastewater; Environmental chemistry; Engineering; Oceanography; Chemistry; Geology; 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":[0.000388607,0.0003069382,0.0003072125,0.001205539,0.0009603835,0.001272221,0.0006200774,0.0006797214,0.0006207923],"category_scores_gemma":[0.0006232134,0.0001818417,0.0007690444,0.002944211,0.000841699,0.0003814271,0.0007537316,0.0004026708,0.00007642647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002157829,"about_ca_system_score_gemma":0.001247368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0796306,"about_ca_topic_score_gemma":0.09640836,"domain_scores_codex":[0.9994102,0.0001767334,0.00004910538,0.00006972669,0.0001507437,0.0001436033],"domain_scores_gemma":[0.9993455,0.0002616486,0.0001433351,0.00005057129,0.0001513255,0.00004765625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005829556,0.001381948,0.7951405,0.00094597,0.0003902145,0.05478835,0.009475389,0.05024334,0.02328095,0.00231672,0.001853783,0.05959997],"study_design_scores_gemma":[0.00005330599,0.001198621,0.9064769,0.00008716371,0.0004251347,0.00513762,0.03381015,0.02943094,0.01654639,0.0007172836,0.005980744,0.0001357611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979011,0.00008194945,0.0002657567,0.00007253274,0.000002743182,0.00002800884,0.0001572949,0.00001201521,0.001478699],"genre_scores_gemma":[0.9985484,0.0002128932,0.0004899288,0.00001972753,0.000003306083,0.00001567596,0.0001222305,0.000002833082,0.0005848576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0796306,"threshold_uncertainty_score":0.1583342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06774256889981016,"score_gpt":0.3493206702676794,"score_spread":0.2815781013678693,"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."}}