{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001155447,0.00007360418,0.000135598,0.00005059707,0.00002081776,0.00002707244,0.0000816735,0.00004015617,0.00007149821],"category_scores_gemma":[0.0000454081,0.00005328814,0.00002686083,0.00005521133,0.00002476647,0.00008549479,0.000003349569,0.000132987,3.896565e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004557434,"about_ca_system_score_gemma":0.00002916993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002346462,"about_ca_topic_score_gemma":0.00008670632,"domain_scores_codex":[0.9995695,0.00000424187,0.0001990724,0.00003048066,0.00006355288,0.0001331434],"domain_scores_gemma":[0.9997117,0.00003911697,0.00003279429,0.0000518966,0.00003271861,0.000131777],"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":[0.00001427812,9.8049e-7,0.0000655463,0.00007695097,0.00003237281,0.000009589815,0.0001564058,0.7427664,0.2531626,0.00002554502,0.000006456336,0.003682782],"study_design_scores_gemma":[0.0003210987,0.0000147019,0.0001467147,0.00009032508,0.00002411693,0.0001027604,0.000004497103,0.9833391,0.01354382,0.00008120498,0.002241638,0.00009005129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913522,0.002890224,0.005191002,0.0002154911,0.0001628793,0.0000380365,0.000006334525,0.0000122298,0.0001316055],"genre_scores_gemma":[0.9997413,0.00001171842,0.0001382118,0.00002811166,0.00005983357,3.985932e-7,5.863562e-7,0.00001530891,0.000004550054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2405726,"threshold_uncertainty_score":0.2173027,"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."}}