{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001250477,0.001805997,0.001232276,0.001568125,0.000854639,0.004146974,0.002649815,0.002141486,0.03349393],"category_scores_gemma":[0.003549067,0.0006731164,0.002435067,0.002208668,0.0008626752,0.002784884,0.001835609,0.001816933,0.01299157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002021418,"about_ca_system_score_gemma":0.003311845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01041444,"about_ca_topic_score_gemma":0.004713336,"domain_scores_codex":[0.9983707,0.0002790216,0.00009299006,0.0003778783,0.0007698872,0.0001095037],"domain_scores_gemma":[0.9989334,0.000357314,0.00009434413,0.00022242,0.0003444469,0.00004804604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001124181,0.0001221699,0.001363199,0.001009367,0.0001147453,0.0003003943,0.0001457191,0.4145267,0.003455761,0.416769,0.04277338,0.119307],"study_design_scores_gemma":[0.00004256762,0.00007846919,0.0004362945,0.0001148319,0.00005229314,0.0001821569,0.0000467781,0.5633602,0.002102175,0.103975,0.3295638,0.00004541046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.006571271,0.006205127,0.7292309,0.003036732,0.001549027,0.000779258,0.009535506,0.003632283,0.23946],"genre_scores_gemma":[0.3046494,0.01435614,0.34119,0.001219432,0.0009903774,0.002045119,0.01517384,0.001963611,0.3184121],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03349393,"threshold_uncertainty_score":0.1120484,"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."}}