{"id":"W3064262410","doi":"10.1007/s13762-020-02897-5","title":"Multi-objective waste load allocation in river system under inflow uncertainty","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Science and Technology","topic":"Water resources management and optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Inflow; Environmental science; Water quality; Wastewater; Pollution; Latin hypercube sampling; Quality (philosophy); Total maximum daily load; Environmental engineering; Environmental economics; Computer science; Water resource management; Economics; Ecology; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001262834,0.00005666617,0.000068934,0.0002307763,0.00002280589,0.0000242676,0.0002545102,0.00003482289,0.000007187954],"category_scores_gemma":[0.00001717809,0.00005078721,0.00001153013,0.0001997646,0.0002035408,0.0002855458,0.0000821117,0.00009831662,0.000005611288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004156154,"about_ca_system_score_gemma":0.0000117716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004651447,"about_ca_topic_score_gemma":0.000004363767,"domain_scores_codex":[0.9993581,0.000005014459,0.0001623694,0.00008863352,0.0002996986,0.00008617704],"domain_scores_gemma":[0.9998376,0.000004907139,0.0000570452,0.00003321716,0.0000332752,0.00003389843],"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":[0.00005090068,0.00007498203,0.02060387,0.00001835122,0.00008771381,0.00007909846,0.00208807,0.7720978,0.1740919,0.000902727,0.00004766637,0.02985697],"study_design_scores_gemma":[0.002075079,0.0001839893,0.03117683,0.00009284694,0.0000190592,0.00007926222,0.006514914,0.9351634,0.02282874,0.000236558,0.001385843,0.0002435054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993116,0.0001065925,0.005492919,0.0008605871,0.0001454059,0.00006051121,0.000001909479,0.00002408873,0.0001920243],"genre_scores_gemma":[0.9989282,0.00008202213,0.0008870788,0.00005951192,0.00003118526,0.000001407066,7.257518e-7,0.000003902045,0.00000600061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1630656,"threshold_uncertainty_score":0.2071042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00609328658805614,"score_gpt":0.1904628282909492,"score_spread":0.184369541702893,"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."}}