{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001601844,0.0001878287,0.0002844542,0.00008061183,0.0001740707,0.00003482391,0.0006634612,0.00008687174,0.0009589012],"category_scores_gemma":[0.00001120515,0.00007846726,0.00008369471,0.0003015349,0.001632984,0.0002487056,0.0005549487,0.0002547755,0.000180137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001101213,"about_ca_system_score_gemma":0.00002712473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007048208,"about_ca_topic_score_gemma":0.00001949042,"domain_scores_codex":[0.997583,0.0002144693,0.0005400159,0.0003845681,0.000821477,0.0004564401],"domain_scores_gemma":[0.9990163,0.0000433456,0.0001596772,0.0005706808,0.0000376254,0.0001723538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000808156,0.001551702,0.5418296,0.00001802105,0.00006953863,0.00001669175,0.05673683,0.0006982753,0.3980278,0.0001834373,0.0000417646,0.0007454755],"study_design_scores_gemma":[0.0009375234,0.000304053,0.5142379,0.000007251285,0.00002252539,0.00001475393,0.003911951,0.0001502493,0.4801049,0.0001367697,0.000005185523,0.0001668942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984915,2.989465e-7,0.00003963389,0.0001454346,0.0000321494,0.0007300173,0.00002403363,0.00001200246,0.0005249353],"genre_scores_gemma":[0.999749,1.727117e-7,0.00006274789,0.00008758651,0.000005780089,0.00004069007,0.000001950636,0.000006166303,0.0000459036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08207712,"threshold_uncertainty_score":0.9999543,"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."}}