{"id":"W4293071717","doi":"10.3389/frwa.2022.723639","title":"Performance Modeling and Simulation for Wastewater Collection Networks","year":2022,"lang":"en","type":"article","venue":"Frontiers in Water","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Benchmarking; Asset management; Environmental economics; Sustainability; Business; Finance; Operations management; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120453,0.00006068351,0.00007832472,0.00009273062,0.0001108622,0.00001864123,0.00002881069,0.00002875853,0.000006265313],"category_scores_gemma":[6.392332e-7,0.00005184968,0.0000130054,0.00005198185,0.000003218269,0.0001181563,0.00001827112,0.00005790188,2.421402e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000773366,"about_ca_system_score_gemma":0.000001189196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004765373,"about_ca_topic_score_gemma":0.000003142378,"domain_scores_codex":[0.9995816,0.00001175002,0.0001285893,0.00008877933,0.00004680937,0.0001424454],"domain_scores_gemma":[0.9999189,0.000002665204,0.00000635689,0.00004969797,0.00000933955,0.00001305189],"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":[0.00003123314,0.000002285996,0.002171695,0.00002710162,0.000005998548,1.646969e-7,0.0007160101,0.9953598,0.00002349685,3.926753e-7,0.001383682,0.0002780743],"study_design_scores_gemma":[0.0004567887,0.00002321079,0.00003828374,0.000004944187,0.000003934043,9.798266e-7,0.00008849616,0.9975318,0.0002172117,0.00002728934,0.00152464,0.00008242793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5178346,0.00007617346,0.4805468,0.00001062051,0.001161458,0.0002342959,9.68415e-7,0.00004358789,0.00009149028],"genre_scores_gemma":[0.9963838,0.00001272822,0.002865838,0.000007238584,0.00005972,0.0001291568,0.0000375382,0.00001926355,0.0004846425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4785493,"threshold_uncertainty_score":0.2114369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006957130110062466,"score_gpt":0.1717397467588516,"score_spread":0.1647826166487891,"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."}}