{"id":"W2086544713","doi":"10.1021/ie071125g","title":"Kinetics Estimation and Single and Multi-Objective Optimization of a Seeded, Anti-Solvent, Isothermal Batch Crystallizer","year":2008,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Crystallization and Solubility Studies","field":"Materials Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Supersaturation; Nucleation; Crystallization; Particle-size distribution; Population balance equation; Chemistry; Nonlinear regression; Seeding; Particle size; Population; Materials science; Thermodynamics; Mathematics; Statistics; Regression analysis; Physics; Physical chemistry","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":[0.001004811,0.0007601507,0.0008221767,0.0003373478,0.0002847508,0.0007117647,0.000877689,0.000807322,0.0007816692],"category_scores_gemma":[0.001219709,0.0006349945,0.0005337704,0.0002645688,0.0004208183,0.0004384144,0.0003774367,0.000736544,0.0001813242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001785589,"about_ca_system_score_gemma":0.001500029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009012611,"about_ca_topic_score_gemma":0.00630856,"domain_scores_codex":[0.9997081,0.00004181874,0.00001636329,0.00007722661,0.0001240169,0.00003243844],"domain_scores_gemma":[0.9995462,0.0002339505,0.00007618662,0.00002656532,0.00009923275,0.00001783858],"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":[0.0001924063,0.0001811583,0.0006880452,0.0001574629,0.0000261539,0.00005592245,0.00006422293,0.8050485,0.1793157,0.001320584,0.0001267348,0.01282311],"study_design_scores_gemma":[0.00001395715,0.00006225033,0.0002262893,0.000001828564,0.000007537539,0.000005398171,0.00000630446,0.9515309,0.04792482,0.00006289798,0.0001510644,0.000006843466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4693407,0.0001890159,0.5272365,0.0001130168,0.00002117651,0.0001724227,0.000151698,0.0005456267,0.002229869],"genre_scores_gemma":[0.8171616,0.0001643512,0.1794135,0.00001851141,0.000005917313,0.0003614847,0.0001436361,0.00006419382,0.002666831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009012611,"threshold_uncertainty_score":0.01792032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.107425633466279,"score_gpt":0.3170218675647582,"score_spread":0.2095962340984792,"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."}}