{"id":"W2061041333","doi":"10.1007/s00267-009-9278-8","title":"An Interval-Parameter Waste-Load-Allocation Model for River Water Quality Management Under Uncertainty","year":2009,"lang":"en","type":"article","venue":"Environmental Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland; University of Regina","funders":"","keywords":"Forest management; Environmental science; Water quality; Nature Conservation; Interval (graph theory); Water resource management; Agroforestry; Mathematics; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001884496,0.0009851251,0.002523354,0.0008257579,0.000625719,0.002106553,0.002992958,0.003350024,0.003317871],"category_scores_gemma":[0.004294284,0.001182034,0.001127136,0.001579451,0.001367671,0.002164161,0.001296607,0.001756608,0.0002810626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002085548,"about_ca_system_score_gemma":0.001564343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02010435,"about_ca_topic_score_gemma":0.009238649,"domain_scores_codex":[0.9991309,0.000321693,0.00004627833,0.0002002341,0.0001450312,0.0001557561],"domain_scores_gemma":[0.9984616,0.0009522167,0.0001965826,0.00005420786,0.000243028,0.00009235606],"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":[0.00001986467,0.000009279333,0.0000690114,0.00000779353,0.000008259051,0.00001384357,0.000008426374,0.9979965,0.00007008287,0.001189485,0.00006229217,0.0005450273],"study_design_scores_gemma":[0.000006499276,0.000006885683,0.00003962331,0.00000110299,0.000004665053,0.000002317242,0.000002590535,0.9991757,0.00002621615,0.0006874024,0.00004360282,0.00000344693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.202438,0.0006296449,0.7808535,0.0009405443,0.0001479357,0.0001245801,0.001041751,0.0005538059,0.01327024],"genre_scores_gemma":[0.9802309,0.0002078022,0.01442511,0.00006525131,0.00002855331,0.0001154076,0.0002377582,0.00005250771,0.004636747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02010435,"threshold_uncertainty_score":0.03997463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428989495606003,"score_gpt":0.2217887397323853,"score_spread":0.2074988447763253,"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."}}