{"id":"W2921234803","doi":"","title":"Pressure Sensor Placement for Leak Diagnosis under Demand Uncertainty in Water Distribution Systems","year":2019,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo; Queen's University","keywords":"Leak detection; Leak; Environmental science; On demand; Pressure sensor; Engineering; Computer science; Petroleum engineering; Civil engineering; Water resource management; Environmental engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005185286,0.0006829349,0.0005701293,0.0003974131,0.0002749138,0.0004822249,0.0005523296,0.0007821014,0.0006768436],"category_scores_gemma":[0.003240535,0.0003564981,0.0003152529,0.0003401212,0.0003964977,0.000579985,0.0005621553,0.0004233239,0.00008950522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005255979,"about_ca_system_score_gemma":0.0004976217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004897526,"about_ca_topic_score_gemma":0.002613796,"domain_scores_codex":[0.9996319,0.0001270975,0.00002075553,0.00008976463,0.00008744732,0.00004306827],"domain_scores_gemma":[0.9988422,0.0007757935,0.000144934,0.00006295641,0.0001414351,0.00003273405],"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":[0.0001483114,0.00003858555,0.002191519,0.00005828428,0.00001037434,0.00009725574,0.00004776791,0.9768894,0.005105529,0.0003780128,0.0001209521,0.01491404],"study_design_scores_gemma":[0.00000347204,0.00002297925,0.0003536696,0.000001828607,0.000002083924,0.000009331658,0.000009086898,0.9980451,0.001329063,0.0001931704,0.00002765229,0.000002553757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4804462,0.0002839051,0.516458,0.0002376932,0.00004107442,0.00006759948,0.000194469,0.0009533069,0.001317855],"genre_scores_gemma":[0.9927308,0.00003325964,0.007073802,0.000006501585,0.000003064245,0.00001033986,0.00003505107,0.000007546345,0.00009959936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004897526,"threshold_uncertainty_score":0.009738028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007824120254364039,"score_gpt":0.1807958953512739,"score_spread":0.1729717750969099,"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."}}