{"id":"W2157614128","doi":"10.1109/acc.2009.5160458","title":"POD based observer for contaminant flow estimation in building systems","year":2009,"lang":"en","type":"article","venue":"","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Galerkin method; Point of delivery; Vector field; Observer (physics); Nonlinear system; Airflow; Flow (mathematics); Applied mathematics; Mathematics; Computer science; Control theory (sociology); Engineering; Geometry; Physics; Mechanical 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":[0.0005298672,0.0004356391,0.0005548359,0.000259588,0.0002002919,0.0005123756,0.0003917606,0.0004664346,0.001048566],"category_scores_gemma":[0.001653389,0.0002155699,0.0003420529,0.0001710382,0.0003793335,0.0005835265,0.0005177716,0.0008938629,0.0002423839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003516231,"about_ca_system_score_gemma":0.000447963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001529124,"about_ca_topic_score_gemma":0.001250952,"domain_scores_codex":[0.9997452,0.00007022093,0.00001326342,0.00004920924,0.0001037952,0.00001832938],"domain_scores_gemma":[0.9995685,0.0001664606,0.00006096857,0.00004528967,0.0001457733,0.00001293235],"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":[0.000159721,0.00004856878,0.0008858831,0.0001977113,0.00004993777,0.00007981464,0.0001057326,0.8338651,0.0290695,0.02771359,0.001343817,0.1064806],"study_design_scores_gemma":[0.000004025264,0.00001967955,0.00008762442,0.000002372491,0.000002824149,0.000005775275,0.000002513609,0.9970901,0.001135562,0.001133745,0.0005118694,0.000003941886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003802329,0.00006455109,0.9953129,0.00003305703,0.00002371427,0.000007673059,0.00001460201,0.0001633013,0.0005777781],"genre_scores_gemma":[0.8175729,0.0004292052,0.1769591,0.00008428426,0.00008359127,0.0001659496,0.0001942577,0.0000504618,0.004460188],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001529124,"threshold_uncertainty_score":0.003507793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038188205033597,"score_gpt":0.2739149921017462,"score_spread":0.2535331100514102,"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."}}