{"id":"W4360992661","doi":"10.31018/jans.v15i1.4340","title":"Evaluation of water quality of Mundeswari River in eastern India: a water quality index (WQI) based approach","year":2023,"lang":"en","type":"article","venue":"Journal of Applied and Natural Science","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water quality; Environmental science; Hydrology (agriculture); Sampling (signal processing); Irrigation; Monsoon; Geography; Meteorology; Ecology; Geology","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":[0.0147749,0.000108268,0.0002838207,0.0002023824,0.00008701442,0.00002491822,0.0003284431,0.00006645742,0.00009326891],"category_scores_gemma":[0.00004903891,0.00006096196,0.0000622362,0.0005245142,0.0007708206,0.000367816,0.0001933436,0.000232449,0.00001167706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000186288,"about_ca_system_score_gemma":0.000080858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004489982,"about_ca_topic_score_gemma":0.00003630991,"domain_scores_codex":[0.996484,0.0002758062,0.0007322578,0.0002211388,0.001998506,0.0002883108],"domain_scores_gemma":[0.9992859,0.0000553648,0.0003233748,0.0001519916,0.00008946053,0.00009387484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004327364,0.0003778638,0.1553691,0.0001075229,0.00002435729,0.000001915696,0.01116281,0.01715189,0.8011546,0.0007756533,0.00002607451,0.01341548],"study_design_scores_gemma":[0.001359892,0.00005274504,0.8861225,0.00001772822,0.0000175838,0.000001990181,0.0007119252,0.008764393,0.09823689,0.00455104,0.00003654174,0.0001267435],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980251,0.000010246,0.0001789863,0.0002181494,0.0001007676,0.0001792535,0.000003576137,0.000004578226,0.001279379],"genre_scores_gemma":[0.9994128,0.000003443563,0.0004581161,0.00007936962,0.00001580954,0.000003451393,0.000002895593,0.00000300878,0.00002114851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7307534,"threshold_uncertainty_score":0.5120715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06252035761180275,"score_gpt":0.3430891483668735,"score_spread":0.2805687907550708,"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."}}