{"id":"W2021836654","doi":"10.1002/cjce.5450790214","title":"Dynamic simulation and control of a paper machine wet end","year":2001,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Material Properties and Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dow Chemical (Canada); University of British Columbia","funders":"","keywords":"Throughput; Consistency (knowledge bases); Dynamic simulation; Computer science; Work (physics); Controller (irrigation); Mill; Dynamic testing; Simulation; Process engineering; Engineering; Mechanical engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002855677,0.0003792188,0.0004614369,0.000267109,0.0003921042,0.0007270793,0.0005529109,0.0007018948,0.002902335],"category_scores_gemma":[0.0006710869,0.0002855789,0.0005012708,0.0001374681,0.0005879379,0.000448218,0.0004083231,0.000413771,0.0003181045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005818335,"about_ca_system_score_gemma":0.0006486619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01082611,"about_ca_topic_score_gemma":0.004455309,"domain_scores_codex":[0.999856,0.00002979289,0.000005718914,0.00002950769,0.00004744228,0.00003150431],"domain_scores_gemma":[0.9997233,0.0001345569,0.00003558719,0.00002966213,0.00005247211,0.0000243937],"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":[0.00005556928,0.00002878778,0.0004209784,0.00001527504,0.000006961961,0.00004234461,0.00002491593,0.9922372,0.00486042,0.000564801,0.00006887644,0.001673996],"study_design_scores_gemma":[0.00000878969,0.00004306932,0.0001677254,0.000001330767,0.00000277444,0.00000435986,0.000005729376,0.9979064,0.001564839,0.0001068272,0.000185057,0.000003050496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7194482,0.0001078941,0.2618179,0.0001904462,0.00005229002,0.0001758773,0.0003600074,0.001093571,0.01675387],"genre_scores_gemma":[0.991338,0.00003686329,0.005058693,0.00001492383,0.000002527215,0.00007318518,0.0000852889,0.00002420511,0.003366393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01082611,"threshold_uncertainty_score":0.02152622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004420513019811066,"score_gpt":0.1720525334072567,"score_spread":0.1676320203874456,"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."}}