{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005815678,0.0001632448,0.0002567175,0.00003949584,0.00005543379,0.00003317595,0.00007741312,0.0001120147,0.0000417931],"category_scores_gemma":[0.00001799085,0.0001017957,0.00003890708,0.000048354,0.0004107858,0.0003000202,0.0002151149,0.0001214118,0.000005404591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007148319,"about_ca_system_score_gemma":0.000009632594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001415785,"about_ca_topic_score_gemma":0.00001575687,"domain_scores_codex":[0.9984846,0.0002782815,0.0002775935,0.000325812,0.0004093143,0.0002244143],"domain_scores_gemma":[0.9995943,0.0000715595,0.00006531885,0.0001879537,0.000007544393,0.00007331412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000297082,0.0004119704,0.7106233,0.0002324037,0.0001613823,0.000001170008,0.004267027,0.0005700322,0.2803046,0.000292041,0.000242347,0.002596724],"study_design_scores_gemma":[0.001959747,0.00007765323,0.3662616,0.00006997182,0.00008163286,2.815164e-7,0.00004185696,0.0001113595,0.6291715,0.002044155,0.00003907311,0.0001411692],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990357,0.00001696379,0.00001220933,0.000219865,0.0001019597,0.0004361141,0.00007022834,0.00000630573,0.0001006535],"genre_scores_gemma":[0.9996346,0.00001008154,0.00002019494,0.0001689744,0.000008696195,0.00001243886,0.00003898488,0.000006555707,0.00009947576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3488669,"threshold_uncertainty_score":0.4151109,"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."}}