{"id":"W2315469680","doi":"10.1021/ie501800j","title":"Dynamic Modeling and Optimization of Batch Crystallization of Sugar Cane under Uncertainty","year":2014,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Crystallization and Solubility Studies","field":"Materials Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Nucleation; Crystallization; Work (physics); Kinetic energy; Process optimization; Volume (thermodynamics); Process (computing); Constraint (computer-aided design); Scale (ratio); Thermodynamics; Biological system; Mathematics; Process engineering; Materials science; Computer science; Environmental science; Physics; Engineering; Environmental engineering","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":[0.000618226,0.0005993953,0.0008870579,0.0003611682,0.0004613487,0.0008872684,0.0004883929,0.0007113229,0.0008758829],"category_scores_gemma":[0.001449545,0.0004735464,0.0006345572,0.0003785579,0.0005769228,0.0004574289,0.0004233556,0.0005243114,0.0001121766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570504,"about_ca_system_score_gemma":0.001628721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02940078,"about_ca_topic_score_gemma":0.01153705,"domain_scores_codex":[0.9998035,0.00003965497,0.0000105922,0.00004803316,0.0000625569,0.00003568752],"domain_scores_gemma":[0.9993799,0.0004459984,0.00005690016,0.00001893747,0.00008344024,0.00001484638],"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":[0.00001983793,0.0000073366,0.0001587657,0.00001391273,0.000003379246,0.00001235209,0.000008034574,0.9975603,0.001255478,0.0002949911,0.00001906259,0.0006465117],"study_design_scores_gemma":[0.000002992726,0.00001000372,0.0001016269,6.269806e-7,0.000001573859,0.0000013364,0.000003041241,0.9990815,0.0006424119,0.00008500694,0.00006788134,0.000001990666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7153198,0.0005958879,0.2709886,0.0003177025,0.00003449749,0.0001917773,0.0006119903,0.0003561266,0.01158351],"genre_scores_gemma":[0.9851843,0.0001830269,0.0124478,0.0000107124,0.000003635577,0.000133096,0.0001606939,0.00003468078,0.001842096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02940078,"threshold_uncertainty_score":0.05845928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06292552858988566,"score_gpt":0.3173474976337831,"score_spread":0.2544219690438975,"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."}}