{"id":"W2044197877","doi":"10.1021/ie010500g","title":"Control of Particle Size Distributions in Emulsion Semibatch Polymerization Using Mid-Course Correction Policies","year":2002,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Emulsion polymerization; Emulsion; Nucleation; Particle (ecology); Particle-size distribution; Particle size; Materials science; Process (computing); Process engineering; Polymer; Controller (irrigation); Process control; Chemical engineering; Polymerization; Computer science; Biological system; Thermodynamics; Physics; Composite material; 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":[0.000693612,0.0003814892,0.0003050673,0.0002627574,0.0002271497,0.0005454357,0.0006577373,0.0002513725,0.0004139308],"category_scores_gemma":[0.002208897,0.0002546366,0.0001510097,0.0002232903,0.0003315251,0.0004944849,0.0003612656,0.0006599325,0.0001352218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00067534,"about_ca_system_score_gemma":0.0005122205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001403132,"about_ca_topic_score_gemma":0.00194094,"domain_scores_codex":[0.9995657,0.00005409258,0.00001982322,0.0001367551,0.0001906263,0.0000330638],"domain_scores_gemma":[0.9987848,0.0004902528,0.0002914597,0.0001364924,0.0002455615,0.00005144775],"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":[0.0005094218,0.0002281456,0.002013415,0.00006841986,0.00001650108,0.00006599481,0.0001186936,0.05550809,0.8445924,0.001786079,0.0003816789,0.09471119],"study_design_scores_gemma":[0.00002697534,0.0002322899,0.001523055,0.000003760378,0.000008427744,0.00003474216,0.00001233322,0.2899422,0.7062033,0.0006727866,0.001315964,0.00002418345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5482051,0.0002867389,0.4477362,0.000115931,0.00004511218,0.00007634955,0.00006964704,0.002265875,0.001198913],"genre_scores_gemma":[0.9357975,0.000100917,0.06288641,0.00003817776,0.000008096916,0.00005676926,0.00005808149,0.0001028769,0.0009511728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001403132,"threshold_uncertainty_score":0.004899919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06943497320533334,"score_gpt":0.3128818803914298,"score_spread":0.2434469071860964,"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."}}