{"id":"W2123971420","doi":"10.1002/aic.10163","title":"Nonlinear kinetic parameter estimation for batch cooling seeded crystallization","year":2004,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Crystallization and Solubility Studies","field":"Materials Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Crystallization; Nucleation; Seeding; Population balance equation; Ammonium sulfate; Population; Crystal growth; Thermodynamics; Nonlinear system; Kinetic energy; Chemistry; Materials science; Physics; Chromatography","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":[0.0006432505,0.000404051,0.0004559805,0.0003137202,0.0002307906,0.0003197235,0.000484448,0.0003624116,0.0005343161],"category_scores_gemma":[0.00189404,0.0003348473,0.0003275246,0.0002679497,0.0003701161,0.0004509404,0.0003597843,0.0003933721,0.0001691572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009987858,"about_ca_system_score_gemma":0.0009459935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006638323,"about_ca_topic_score_gemma":0.004213359,"domain_scores_codex":[0.9997341,0.00007353642,0.00001365702,0.00004553439,0.000118249,0.00001486843],"domain_scores_gemma":[0.9991599,0.0005385643,0.0001016863,0.00005683764,0.0001285957,0.00001426897],"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":[0.0001904201,0.00005136674,0.001833545,0.00009924491,0.00002598625,0.00006225425,0.00005497262,0.8926479,0.06719656,0.003654537,0.0003133269,0.03386989],"study_design_scores_gemma":[0.000002904301,0.000008020264,0.0001619678,7.355089e-7,0.000001497505,0.000004665374,0.000001120689,0.9910438,0.008406884,0.0002710822,0.00009333605,0.000003944143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.124257,0.0001126304,0.8734872,0.00007376129,0.00001185647,0.0000615918,0.00008351103,0.0003504346,0.001561958],"genre_scores_gemma":[0.886514,0.00008758656,0.1116323,0.00001363556,0.00000702555,0.0001149905,0.0001388102,0.00005865257,0.001432896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006638323,"threshold_uncertainty_score":0.01319933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743523159985208,"score_gpt":0.2947661733845628,"score_spread":0.2673309417847108,"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."}}