{"id":"W2165884388","doi":"10.1007/s11269-015-0982-2","title":"Sustainability Evaluation of Surface Water Quality Management Options in Developing Countries: Multicriteria Analysis Using Fuzzy UTASTAR Method","year":2015,"lang":"en","type":"article","venue":"Water Resources Management","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"European Social Fund","keywords":"Sustainability; Ranking (information retrieval); Environmental economics; Quality (philosophy); Multiple-criteria decision analysis; Fuzzy logic; Developing country; Environmental resource management; Risk analysis (engineering); Computer science; Business; Environmental science; Operations research; Engineering; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.06575531,0.0004075779,0.0009684702,0.002124161,0.0002211013,0.0006521425,0.001301434,0.0001124421,0.0004644874],"category_scores_gemma":[0.0008633565,0.0002671194,0.0002888636,0.00208684,0.0001547359,0.0006149366,0.001895066,0.0001377371,0.0000930063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585125,"about_ca_system_score_gemma":0.00005777209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007485271,"about_ca_topic_score_gemma":0.000219894,"domain_scores_codex":[0.9851829,0.004422691,0.002691217,0.001422534,0.005365204,0.0009154656],"domain_scores_gemma":[0.9947288,0.0003867818,0.0004399391,0.001919856,0.002280696,0.00024394],"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":[0.0004197191,0.0002875962,0.01390523,0.0002866962,0.0009065268,0.00005880185,0.03527692,0.9330335,0.0004629517,0.001983696,0.0002012648,0.01317713],"study_design_scores_gemma":[0.006388472,0.00007789964,0.0617345,0.0001937593,0.00251095,0.000004781553,0.07437731,0.6540137,0.004540469,0.07217675,0.1224615,0.001519945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8220723,0.0000566699,0.1739779,0.001079493,0.0002386106,0.001421689,0.00001831756,0.00004303844,0.001092027],"genre_scores_gemma":[0.8517482,0.000009221713,0.1474024,0.0001661661,0.00002314603,0.00005458941,0.00003258775,0.00002495669,0.0005387716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2790198,"threshold_uncertainty_score":0.9999781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3003390668515622,"score_gpt":0.5048816733350623,"score_spread":0.2045426064835001,"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."}}