{"id":"W7064960429","doi":"","title":"A Control Configuration for Temperature Control of a Cooling Crystallizer Based on a Two-level-model Predictive Control","year":2010,"lang":"en","type":"article","venue":"University of Zagreb University Computing Centre (SRCE)","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Model predictive control; Control theory (sociology); Temperature control; Tracking (education); Matrix (chemical analysis); Control (management); Control system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004352354,0.000679564,0.0005624895,0.0003839422,0.0005557288,0.0008737326,0.001521911,0.0005951588,0.002878323],"category_scores_gemma":[0.0005289541,0.0002822121,0.0002114273,0.0002824167,0.000545213,0.000682894,0.0005405686,0.001081682,0.0004515301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006171421,"about_ca_system_score_gemma":0.0007894987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002936544,"about_ca_topic_score_gemma":0.002911177,"domain_scores_codex":[0.9994915,0.00005926134,0.00002221502,0.0001654189,0.0002046687,0.0000569469],"domain_scores_gemma":[0.999765,0.00005261451,0.00003099603,0.00004438096,0.00008605707,0.000020977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001149518,0.000636499,0.001813949,0.0003824649,0.0001014041,0.0004682408,0.0003671193,0.2308257,0.3692192,0.02207429,0.006108802,0.3668528],"study_design_scores_gemma":[0.0001324733,0.0005720417,0.0009916356,0.00001397162,0.00002771782,0.0001561965,0.00002189708,0.9205582,0.07121719,0.001477192,0.004776492,0.00005494565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05585922,0.0002143449,0.934539,0.0002023961,0.0002626717,0.0002006227,0.00007665359,0.002583754,0.006061382],"genre_scores_gemma":[0.9118373,0.00007696502,0.08443576,0.00006610913,0.00005224284,0.0002051825,0.00007178687,0.00004392555,0.003210702],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002936544,"threshold_uncertainty_score":0.009629011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004547570995694425,"score_gpt":0.1694365050674002,"score_spread":0.1648889340717058,"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."}}