{"id":"W7114765137","doi":"10.3390/hydrology12120329","title":"Development of an Adapted Water Quality Index for the Danube River Using Objective Weighting Methods","year":2025,"lang":"en","type":"article","venue":"Hydrology","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"HORIZON EUROPE Framework Programme; European Commission","keywords":"Water quality; Weighting; Hydrology (agriculture); Index (typography); Robustness (evolution); Index method; Biochemical oxygen demand; Nitrate","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":[0.002954714,0.0006456277,0.000588602,0.002477221,0.0002640467,0.001106042,0.0005974768,0.0003842157,0.0005550594],"category_scores_gemma":[0.004287996,0.0002030112,0.0005983023,0.002035081,0.0002691107,0.001048385,0.001352382,0.0004846502,0.0001399397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007635483,"about_ca_system_score_gemma":0.001052008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00578372,"about_ca_topic_score_gemma":0.009782614,"domain_scores_codex":[0.9985173,0.0004329674,0.000155993,0.0002197229,0.0006130441,0.00006088912],"domain_scores_gemma":[0.9984909,0.0003392831,0.000192235,0.0001130882,0.000823102,0.0000413091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001402995,0.0002329209,0.08615135,0.0003805702,0.0003733794,0.0002003153,0.0003880481,0.2321462,0.04081826,0.0056451,0.00158725,0.6319363],"study_design_scores_gemma":[0.00002674733,0.0002711543,0.05740882,0.00004176779,0.00008314547,0.00008783318,0.000243453,0.9196873,0.01439651,0.00279249,0.004883097,0.00007761563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2086887,0.0002377429,0.7856022,0.00008274843,0.00003191359,0.0005011349,0.0004332929,0.000202957,0.004219394],"genre_scores_gemma":[0.5882497,0.0002717884,0.4075787,0.00003702024,0.00001719343,0.0007460063,0.001053317,0.00005399286,0.001992334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00578372,"threshold_uncertainty_score":0.01562619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0735686113126627,"score_gpt":0.4046599233929113,"score_spread":0.3310913120802487,"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."}}