{"id":"W4241108242","doi":"10.22541/au.163252062.25788287/v1","title":"Dynamic Modelling and Model Predictive Control of a Continuous Pulp Digester","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Lignin and Wood Chemistry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Discretization; Control theory (sociology); Model predictive control; Nonlinear system; Observer (physics); Controller (irrigation); Partial differential equation; Computer science; Mathematics; Control (management); Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002657451,0.0005149919,0.0005281815,0.000232022,0.0003476852,0.001101044,0.000777957,0.0008726286,0.001422947],"category_scores_gemma":[0.0004356513,0.000347424,0.0004337338,0.00030941,0.0007180219,0.000592316,0.0006578536,0.0009044906,0.0002647291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004287157,"about_ca_system_score_gemma":0.000737832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008811592,"about_ca_topic_score_gemma":0.004266222,"domain_scores_codex":[0.9998291,0.00003788616,0.000006773983,0.00005343829,0.00005842321,0.00001435251],"domain_scores_gemma":[0.999854,0.00006185787,0.00002958935,0.00001687726,0.00003128145,0.000006432468],"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":[0.00002769766,0.00001569582,0.0001615372,0.00005375459,0.00001158747,0.00006730201,0.00004031085,0.9837803,0.005836971,0.004216336,0.0001298693,0.005658641],"study_design_scores_gemma":[0.000004460488,0.00001487578,0.00008414646,0.000002545114,0.000003247247,0.000006727464,0.000004955013,0.9981402,0.000715687,0.0006906915,0.0003293035,0.000003133545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06555558,0.0007553702,0.9201829,0.000357918,0.00007739477,0.00005018645,0.0001322355,0.0003873766,0.01250113],"genre_scores_gemma":[0.9747014,0.0005031892,0.01886559,0.00003965608,0.00002439108,0.0001018397,0.0001039954,0.00002025757,0.005639511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008811592,"threshold_uncertainty_score":0.01752061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006191535471143798,"score_gpt":0.1902642813666072,"score_spread":0.1840727458954634,"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."}}