{"id":"W4409622094","doi":"10.1007/s43832-025-00220-2","title":"Evaluation and downstream effects of household and industrial effluents discharge on some physicochemical parameters and surface Water Quality Index of River Mahanadi, Odisha, India","year":2025,"lang":"en","type":"article","venue":"Discover Water","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Effluent; Index (typography); Downstream (manufacturing); Environmental science; Water discharge; Water quality; Hydrology (agriculture); Surface water; Quality (philosophy); Industrial effluent; Water resource management; Environmental engineering; Geology; Engineering; Biology; Geotechnical engineering; Ecology; Computer science; Operations management","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":[0.0002410562,0.0002458022,0.0002058782,0.0004305932,0.0003280009,0.0007490334,0.0002258582,0.0002652176,0.0005825379],"category_scores_gemma":[0.0003867397,0.0001334679,0.000472971,0.0007698716,0.0003240618,0.0002515914,0.0004593716,0.0003460299,0.0001230294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005187718,"about_ca_system_score_gemma":0.0006294691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03238367,"about_ca_topic_score_gemma":0.0609629,"domain_scores_codex":[0.9997835,0.00004633532,0.00001692133,0.00005211052,0.00006799028,0.00003324137],"domain_scores_gemma":[0.999656,0.00009291267,0.00006469206,0.00002206781,0.0001258073,0.00003849329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004116886,0.0003572197,0.9523131,0.0001566688,0.0002218643,0.0006957221,0.001512468,0.001787319,0.02421769,0.0002030499,0.0004453713,0.01767783],"study_design_scores_gemma":[0.000002471596,0.0001576846,0.9961791,0.000004967834,0.00004211185,0.00005031087,0.0007211803,0.0007025604,0.001732062,0.00003188391,0.0003688779,0.000006755771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988451,0.00007443874,0.00008415225,0.00002640577,0.000003699258,0.000005545914,0.0001676142,0.000005233143,0.0007879469],"genre_scores_gemma":[0.9988476,0.00009455905,0.0001136464,0.00002100161,0.000002772709,0.000005788606,0.0002602231,0.000002170646,0.0006523063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03238367,"threshold_uncertainty_score":0.06439036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03152072238385308,"score_gpt":0.2824710942805577,"score_spread":0.2509503718967046,"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."}}