{"id":"W2023759185","doi":"10.1002/cjce.21928","title":"Population balance model: Breakage kernel parameter estimation to emulsification data","year":2013,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breakage; Residual; Population; Experimental data; Estimation theory; System identification; Nonlinear system; Computer science; Coalescence (physics); Population balance equation; Applied mathematics; Least-squares function approximation; Mathematical optimization; Algorithm; Mathematics; Biological system; Statistics; Data modeling; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002573749,0.0009668689,0.001105442,0.0008089885,0.000294161,0.0009697284,0.001350703,0.002238665,0.002257741],"category_scores_gemma":[0.007773377,0.000390232,0.001027005,0.0005496125,0.0006161254,0.00114824,0.001119479,0.001890372,0.0006189207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007435697,"about_ca_system_score_gemma":0.0006420969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00988292,"about_ca_topic_score_gemma":0.002481991,"domain_scores_codex":[0.9993006,0.0002630196,0.00004374455,0.0002126065,0.00009437782,0.0000857451],"domain_scores_gemma":[0.9975253,0.001794214,0.0002992209,0.0001127379,0.0002319736,0.00003654609],"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":[0.00009986806,0.00005250526,0.001681882,0.00009600609,0.00004814616,0.00006690453,0.00006532946,0.9783546,0.002821198,0.001800323,0.0001848134,0.01472844],"study_design_scores_gemma":[0.000003929201,0.00001500867,0.0004994848,0.000004122129,0.000004533101,0.000007012125,0.00000510785,0.9984121,0.0005437325,0.000408682,0.00009150425,0.000004675972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1848004,0.0003483736,0.8119609,0.0002916252,0.00002394299,0.0001671146,0.0004021462,0.000427636,0.001577824],"genre_scores_gemma":[0.9640035,0.0001709805,0.02981046,0.00006194205,0.00001662619,0.000331976,0.0006820449,0.00006741248,0.004855111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00988292,"threshold_uncertainty_score":0.01965082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208273018537029,"score_gpt":0.199764251697075,"score_spread":0.1876815215117047,"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."}}