{"id":"W3171198576","doi":"10.1016/j.jenvman.2021.112791","title":"Data-driven interval credibility constrained quadratic programming model for water quality management under uncertainty","year":2021,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Quadratic programming; Mathematical optimization; Credibility; Interval (graph theory); Nonlinear programming; Nonlinear system; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003014409,0.001003416,0.002103427,0.0006342969,0.000389665,0.00189559,0.002551683,0.002444356,0.003571819],"category_scores_gemma":[0.007991948,0.0008222006,0.0009564793,0.001117859,0.001129365,0.001694852,0.00179101,0.00311203,0.0003513882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431158,"about_ca_system_score_gemma":0.002054886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01357587,"about_ca_topic_score_gemma":0.005293562,"domain_scores_codex":[0.998759,0.0004095477,0.00005742116,0.0002918897,0.0003345099,0.0001476442],"domain_scores_gemma":[0.9962102,0.002458071,0.0003725676,0.0001132335,0.0007366585,0.0001093327],"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":[0.0000244437,0.000009936914,0.00009369897,0.00003508973,0.00001265694,0.00002313976,0.00001282892,0.9932507,0.0001535234,0.004064742,0.0002150278,0.002104156],"study_design_scores_gemma":[0.000003433966,0.000006773222,0.00002617894,0.000002417643,0.00000241351,0.000002146502,0.000001443663,0.9988019,0.00003579233,0.001055907,0.00005882576,0.000002660432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02077931,0.0004621472,0.9735469,0.0005082662,0.00008463355,0.00007173933,0.0003595707,0.0002241733,0.003963341],"genre_scores_gemma":[0.9549085,0.0003906646,0.0384202,0.000124331,0.00005559148,0.0002550525,0.0004791881,0.00007533759,0.005291202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01357587,"threshold_uncertainty_score":0.02699375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03974528959665644,"score_gpt":0.2594071389866053,"score_spread":0.2196618493899488,"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."}}