{"id":"W4388904627","doi":"10.1038/s41598-023-47137-1","title":"Evaluation of the surface water quality using global water quality index (WQI) models: perspective of river water pollution","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water quality; Environmental science; Pollution; Urbanization; Water resource management; Surface water; Environmental engineering; 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":[0.001340184,0.0008018505,0.0004161338,0.001203573,0.0002078889,0.001114001,0.0005081744,0.0004380441,0.0004181313],"category_scores_gemma":[0.002356338,0.0001452631,0.0007560959,0.002148341,0.0004511248,0.001231306,0.000671642,0.0003406358,0.0001246077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144309,"about_ca_system_score_gemma":0.0008038614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01966777,"about_ca_topic_score_gemma":0.01846155,"domain_scores_codex":[0.9992999,0.0003039543,0.00003845448,0.00008734703,0.0002176713,0.00005263961],"domain_scores_gemma":[0.9994288,0.0001764191,0.0001214931,0.00007416365,0.0001755596,0.00002344989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001674774,0.0001480361,0.3078458,0.000224693,0.0003539376,0.000191852,0.0003434376,0.5727625,0.008060335,0.006130468,0.001619552,0.1021519],"study_design_scores_gemma":[0.00002384509,0.0004963804,0.105079,0.00004830223,0.0001015194,0.0001037262,0.001273422,0.8772478,0.006189608,0.005606848,0.003737653,0.00009198386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8631319,0.0006552573,0.1219085,0.000469341,0.00003537202,0.0001687512,0.001389681,0.0003838792,0.01185733],"genre_scores_gemma":[0.9882416,0.0002624528,0.01048235,0.00002092707,0.000004964834,0.00004436454,0.0004318285,0.00001902564,0.0004923967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01966777,"threshold_uncertainty_score":0.03910661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1310377986208122,"score_gpt":0.3758328684914418,"score_spread":0.2447950698706296,"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."}}