{"id":"W1988322241","doi":"10.1016/j.ces.2012.04.038","title":"Corrigendum to “Formulation of linear data reconciliation using information theory” [Chem. Eng. Sci. 51 (1996) 3359–3366]","year":2012,"lang":"en","type":"erratum","venue":"Chemical Engineering Science","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Applied mathematics; Chemistry; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001154002,0.0003525916,0.0004267665,0.0005124983,0.00008878032,0.00009690276,0.001013452,0.0003977979,0.00002548986],"category_scores_gemma":[0.0009693258,0.0003703602,0.00007246679,0.001164661,0.00006346044,0.001714957,0.0002013746,0.0006431396,0.00006063777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000569563,"about_ca_system_score_gemma":0.0001893903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002957521,"about_ca_topic_score_gemma":0.000001205829,"domain_scores_codex":[0.9976125,0.00001127304,0.0007298373,0.0003525046,0.0007445586,0.0005493743],"domain_scores_gemma":[0.9983574,0.00004492293,0.0001811045,0.0009119465,0.0002304058,0.0002742289],"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":[0.00004026113,0.00003562903,0.00002820314,0.001913098,0.0001053086,9.278243e-7,0.001467291,0.2488345,0.6952578,0.0005914292,0.03429513,0.01743042],"study_design_scores_gemma":[0.0001857131,0.00001104953,0.00004561906,0.0002641166,0.00003250171,0.000008551087,0.00002714937,0.886375,0.04011823,0.000006844005,0.07253543,0.0003898487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08996285,0.002474848,0.6364623,0.00008763049,0.2499153,0.003142394,0.0009834834,0.003238976,0.01373223],"genre_scores_gemma":[0.9900447,0.00002564926,0.005447942,0.00004524011,0.002407032,0.00003902996,0.0007022437,0.00009306728,0.001195057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9000819,"threshold_uncertainty_score":0.9998748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02849757079661314,"score_gpt":0.2496369226208888,"score_spread":0.2211393518242757,"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."}}