{"id":"W2899622522","doi":"10.1115/ipc2018-78791","title":"Optimization of Averaging Window Length and Alarming Hold Time in Volume Balance RTTM Leak Detection to Minimize False Alarms and Spill Volume","year":2018,"lang":"en","type":"article","venue":"Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining","topic":"Water Systems and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"False positive paradox; Leak; Computer science; False alarm; Sensitivity (control systems); Pipeline (software); Thresholding; Volume (thermodynamics); Transient (computer programming); Reliability (semiconductor); Real-time computing; Set (abstract data type); Data mining; Reliability engineering; Engineering; Artificial intelligence; Power (physics)","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":[0.0007382667,0.001203075,0.0008665786,0.001058913,0.0004374578,0.0008940571,0.001087506,0.0006793345,0.002233139],"category_scores_gemma":[0.00333412,0.0002810179,0.0004750544,0.0005786744,0.0003548126,0.001215139,0.0006031598,0.0006413257,0.0005648712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004753441,"about_ca_system_score_gemma":0.001005695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00215458,"about_ca_topic_score_gemma":0.00203992,"domain_scores_codex":[0.9994432,0.00006667435,0.0000513387,0.0001623233,0.0001829957,0.00009343059],"domain_scores_gemma":[0.9987237,0.0004605468,0.0003195101,0.00007385168,0.0003092646,0.0001130345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001913252,0.00067202,0.01014352,0.0007438391,0.0001411702,0.0008234876,0.0003426734,0.2923804,0.249664,0.004273477,0.004792064,0.43411],"study_design_scores_gemma":[0.0001086811,0.001276072,0.01016619,0.00006430611,0.000222102,0.0004632849,0.0001801673,0.9018268,0.07895131,0.002745158,0.003913565,0.00008237956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1697207,0.001875323,0.8217704,0.0002579002,0.0001356406,0.0001982661,0.0001939489,0.002894633,0.002953188],"genre_scores_gemma":[0.8395821,0.0004042914,0.1574332,0.0001144974,0.00006542631,0.0001964363,0.0002611862,0.0002246906,0.00171819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002233139,"threshold_uncertainty_score":0.007470608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00608322463088912,"score_gpt":0.1922342254361406,"score_spread":0.1861510008052515,"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."}}