{"id":"W4293774338","doi":"10.1002/aic.17862","title":"Sensor location selection for continuous pulp digesters with delayed measurements","year":2022,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Estimator; Control theory (sociology); Discretization; Kalman filter; Partial differential equation; Soft sensor; Mathematics; Ordinary differential equation; Mathematical optimization; Computer science; Differential equation; Statistics; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003921262,0.00009088425,0.0001236045,0.00006532024,0.0004105318,0.00006132347,0.0000827203,0.0000248831,0.00009830111],"category_scores_gemma":[0.00005695621,0.00008740117,0.00005233174,0.0001627418,0.00001378043,0.000127471,0.000007606204,0.0002168714,0.000002294008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002616787,"about_ca_system_score_gemma":0.000056518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001450812,"about_ca_topic_score_gemma":0.0001065963,"domain_scores_codex":[0.9991754,0.00006742601,0.0002065427,0.00009634204,0.0002720819,0.000182223],"domain_scores_gemma":[0.9995404,0.00006087775,0.00005716415,0.0000808999,0.0002003207,0.00006033888],"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":[0.001048123,0.0003107788,0.02636278,0.00008310776,0.0008202839,0.000001368948,0.00224297,0.8975289,0.03922243,0.0001265174,0.001485227,0.0307675],"study_design_scores_gemma":[0.02693233,0.007437188,0.0906672,0.0001175587,0.001759597,0.00103841,0.01216279,0.8037661,0.0204684,0.005989668,0.02725225,0.002408553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7163232,0.0001017919,0.2820999,0.0004713618,0.0003711463,0.0003794079,0.00001005786,0.00009509047,0.0001480766],"genre_scores_gemma":[0.9985845,0.000002415265,0.00106654,0.00005613149,0.0001051886,0.00008733448,0.000010682,0.00001824337,0.00006897361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2822613,"threshold_uncertainty_score":0.3564116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02059164904936047,"score_gpt":0.2218761280138252,"score_spread":0.2012844789644647,"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."}}