{"id":"W1988051781","doi":"10.1002/cjce.20525","title":"Direct estimation of residence time from input and output data","year":2011,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Residence; Residence time (fluid dynamics); Estimation; Process (computing); Computer science; Residence time distribution; Econometrics; SIGNAL (programming language); Industrial engineering; Process engineering; Mathematical optimization; Mathematics; Engineering; Economics; Systems engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0005076061,0.0008258102,0.0008622495,0.0007962715,0.0001848424,0.0007326629,0.0007678402,0.0007792239,0.001910578],"category_scores_gemma":[0.003403594,0.0002973171,0.0003292381,0.0005750445,0.0003684001,0.0007902856,0.0006886927,0.0006434682,0.0008588805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003973584,"about_ca_system_score_gemma":0.0005668103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002350047,"about_ca_topic_score_gemma":0.002265072,"domain_scores_codex":[0.9994092,0.00009641076,0.00003329958,0.0001843064,0.0002219105,0.00005473521],"domain_scores_gemma":[0.9987392,0.0005359001,0.0002327781,0.0002396104,0.0002177971,0.00003480187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001132249,0.0002710874,0.009778109,0.0008511117,0.0001195477,0.0003682236,0.0002279698,0.2234827,0.4881313,0.00477193,0.001270079,0.2695957],"study_design_scores_gemma":[0.00003062806,0.0001487442,0.003526677,0.0000200423,0.00002672523,0.0001456114,0.00001729136,0.8303488,0.1631484,0.001269799,0.00127933,0.00003787037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08154438,0.0002283839,0.9144778,0.00004941194,0.00003604569,0.00004093406,0.0003882834,0.002020459,0.001214197],"genre_scores_gemma":[0.8778529,0.0001520487,0.1186453,0.00003475677,0.00003018808,0.0000792123,0.0004882244,0.0001458523,0.002571527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002350047,"threshold_uncertainty_score":0.006391466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656008168837515,"score_gpt":0.1854284330940549,"score_spread":0.1688683514056797,"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."}}