{"id":"W4400000452","doi":"10.1016/j.compchemeng.2024.108777","title":"Moving horizon estimation for pipeline leak detection, localization, and constrained size estimation","year":2024,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Leak; Pipeline (software); Discretization; Estimator; Pipeline transport; Control theory (sociology); Observer (physics); Horizon; Mathematical optimization; Computer science; Engineering; Mathematics; Statistics; Artificial intelligence; Environmental engineering","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":[0.0006416222,0.0008753834,0.0007210267,0.0004134195,0.0003083916,0.0005941888,0.0007946289,0.0006612026,0.00147129],"category_scores_gemma":[0.002334104,0.0003812074,0.0006059625,0.0004267071,0.0005711216,0.00102775,0.0007349121,0.0009772964,0.0002003427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006750341,"about_ca_system_score_gemma":0.0009870501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007453077,"about_ca_topic_score_gemma":0.003995121,"domain_scores_codex":[0.9994467,0.0001189739,0.00003574691,0.0001609496,0.0001804919,0.0000571561],"domain_scores_gemma":[0.9992695,0.0002951848,0.0001743969,0.00005083784,0.0001825963,0.00002738303],"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":[0.0002101295,0.0000438172,0.0008298056,0.0003074289,0.00005954981,0.000128717,0.0001505479,0.849982,0.01821242,0.02122303,0.001256394,0.1075961],"study_design_scores_gemma":[0.000005680189,0.00004900003,0.0001781016,0.000006638736,0.000007799281,0.00001121127,0.00000563051,0.9955215,0.002093396,0.001586462,0.0005249878,0.0000096283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0038997,0.0001503138,0.9951522,0.00003881345,0.00002074592,0.000009484037,0.00001553288,0.0001205693,0.0005925166],"genre_scores_gemma":[0.9024341,0.000543852,0.09397853,0.00007856784,0.00005886266,0.000116526,0.0001230819,0.00004852775,0.002617874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007453077,"threshold_uncertainty_score":0.01481938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003902871979792074,"score_gpt":0.1817872447411305,"score_spread":0.1778843727613384,"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."}}