{"id":"W1975540374","doi":"10.1016/j.compchemeng.2004.09.011","title":"Modelling and optimization of seeded batch crystallizers","year":2004,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Crystallization and Solubility Studies","field":"Materials Science","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Moment (physics); Population balance equation; Population; Identification (biology); Reliability (semiconductor); Mathematical optimization; Function (biology); Product (mathematics); Energy balance; Mathematics; Control theory (sociology); Engineering; Computer science; Thermodynamics; Physics","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":[0.0005587525,0.0006502337,0.0007819117,0.0003674545,0.0005496452,0.00101422,0.001456943,0.001403552,0.003446467],"category_scores_gemma":[0.002044904,0.000731319,0.0006209728,0.0005007999,0.0005870523,0.0007616742,0.0005185849,0.0007320232,0.0004681295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002142972,"about_ca_system_score_gemma":0.002212968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01685714,"about_ca_topic_score_gemma":0.01123978,"domain_scores_codex":[0.9997473,0.000051277,0.00001403462,0.00004707569,0.00009285924,0.00004740163],"domain_scores_gemma":[0.9992006,0.00049777,0.00006675473,0.00005734161,0.0001381794,0.0000394078],"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":[0.00004386919,0.00001886328,0.0001399777,0.00002608189,0.000004525801,0.00002731621,0.00001180389,0.9952987,0.00206472,0.001028011,0.0001466895,0.001189437],"study_design_scores_gemma":[0.00001489138,0.00002329473,0.00007844576,0.000002238636,0.000002581596,0.00000427699,0.000005103679,0.9972191,0.002144588,0.0002369037,0.0002641731,0.000004468751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6419694,0.001099704,0.3238927,0.0006217865,0.0001490757,0.0003765198,0.00134895,0.00127751,0.02926433],"genre_scores_gemma":[0.9437473,0.0003809032,0.0478099,0.00004320846,0.0000153279,0.0003641653,0.0005207681,0.0001778257,0.006940701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01685714,"threshold_uncertainty_score":0.03351808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191424908541851,"score_gpt":0.2025038023927924,"score_spread":0.1905895533073739,"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."}}