{"id":"W4237056280","doi":"10.1515/cppm","title":"Chemical Product and Process Modeling","year":2013,"lang":"en","type":"paratext","venue":"Chemical Product and Process Modeling","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); PID controller; Multivariable calculus; Approximation error; Linearization; Artificial neural network; MATLAB; Nonlinear system; Computer science; Ball mill; Mean squared error; Autoregressive model; Control engineering; Mean absolute percentage error; Mathematics; Engineering; Algorithm; Artificial intelligence; Control (management); Statistics; Temperature control","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003355546,0.001215679,0.001248854,0.0002504002,0.0002613897,0.0004531848,0.0005463285,0.0006667353,0.0001130081],"category_scores_gemma":[0.0002171446,0.001130953,0.0001127045,0.0004294926,0.0001696991,0.0006928124,0.0001944213,0.002004391,0.0001328754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000925026,"about_ca_system_score_gemma":0.0001600834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002448643,"about_ca_topic_score_gemma":4.319709e-7,"domain_scores_codex":[0.9953519,0.000021586,0.001013168,0.001890699,0.0005653289,0.00115731],"domain_scores_gemma":[0.9983271,0.00003690361,0.0001561939,0.0005524661,0.0004669842,0.0004603299],"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":[0.0001044214,0.0001239399,0.00001554383,0.03557955,0.0002832731,0.000007067155,0.003253188,0.7894126,0.133638,0.00001383897,0.01369055,0.0238781],"study_design_scores_gemma":[0.0004123368,0.00001259537,3.880859e-8,0.001412239,0.000133794,0.00008130763,0.0001427172,0.9241579,0.07020935,0.001265818,0.0006143681,0.001557554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9224814,0.05945577,0.004176002,0.0003183149,0.0009612418,0.0009955382,0.00003850468,0.0006700158,0.01090326],"genre_scores_gemma":[0.9902822,0.001846219,0.001043041,0.00006420663,0.003275331,0.000272651,0.0003294301,0.00032628,0.002560606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1347453,"threshold_uncertainty_score":0.999114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256365207577526,"score_gpt":0.255646425651862,"score_spread":0.2330827735760867,"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."}}