{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000522297,0.0001154336,0.0001651043,0.0000643598,0.0003597641,0.0002138874,0.0001198537,0.00006105082,0.0002113106],"category_scores_gemma":[0.0007212498,0.000100209,0.00007297925,0.0001280085,0.00005225751,0.0002679869,0.00002749961,0.00009089769,0.00002779905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010916,"about_ca_system_score_gemma":0.00008169923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001194534,"about_ca_topic_score_gemma":0.00002629993,"domain_scores_codex":[0.9989522,0.00003347797,0.0003800202,0.0001652769,0.0002397906,0.000229198],"domain_scores_gemma":[0.999205,0.0001150182,0.0001758153,0.0001192275,0.0003019785,0.00008298657],"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":[0.000298199,0.0004191142,0.0005580405,0.0001710189,0.00005757393,0.00001010033,0.005239693,0.339299,0.6476715,0.001902471,0.001364561,0.003008756],"study_design_scores_gemma":[0.01766929,0.002025709,0.009436348,0.0008136519,0.0005644606,0.0008017644,0.004244096,0.455753,0.3410556,0.1165204,0.04876356,0.002352078],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4163101,0.00005918875,0.5824347,0.0006286662,0.0002975551,0.000169434,0.000006922153,0.00004067591,0.00005280349],"genre_scores_gemma":[0.860586,0.00004175955,0.1385468,0.0003683477,0.0002456128,0.00001329168,0.00001959995,0.00001820307,0.0001603751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4442759,"threshold_uncertainty_score":0.4086403,"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."}}