{"id":"W2077945094","doi":"10.3182/20050703-6-cz-1902.01716","title":"OPTIMIZATION-FREE CONSTRAINED NONLINEAR PREDICTIVE CONTROL – MINERAL PROCESSING APPLICATIONS","year":2005,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Model predictive control; Minification; Nonlinear system; Mathematical optimization; Computer science; Simple (philosophy); Function (biology); Scheme (mathematics); Nonlinear programming; Mineral processing; Control theory (sociology); Control (management); Algorithm; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001172885,0.0002989601,0.0003229962,0.0001567181,0.0001820419,0.0001484133,0.0003198089,0.0001540911,0.00003788649],"category_scores_gemma":[0.000107843,0.0003256168,0.00006712662,0.000390647,0.00009766161,0.00102665,0.00003032564,0.0001929785,0.00002632105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001805479,"about_ca_system_score_gemma":0.00004623735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002501378,"about_ca_topic_score_gemma":0.000003645629,"domain_scores_codex":[0.9984832,0.000005153684,0.0004818434,0.0003487003,0.0002689027,0.0004121575],"domain_scores_gemma":[0.9990489,0.0000312556,0.0001447343,0.0001743548,0.0004575361,0.0001431484],"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":[0.00002009852,0.00003133793,0.0005632089,0.00009519323,0.0000522216,3.397263e-7,0.0002573634,0.9860493,0.001534626,0.0002883408,0.0007625959,0.01034538],"study_design_scores_gemma":[0.001662365,0.00003190051,0.00007486963,0.00005187063,0.0000543151,0.00001635699,0.0001757873,0.9903103,0.0002513551,0.0000963124,0.006949913,0.0003246352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001370245,0.0007458894,0.9821412,0.0004071178,0.0000867622,0.001234971,0.00009754191,0.001607792,0.01230848],"genre_scores_gemma":[0.782546,0.00003128957,0.215153,0.000103023,0.0008934612,0.000747156,0.00004146397,0.00009433919,0.0003902502],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7811757,"threshold_uncertainty_score":0.9999196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003426424151373135,"score_gpt":0.1958386770455319,"score_spread":0.1924122528941587,"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."}}