{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001474753,0.00009463826,0.000119527,0.00009515732,0.00002868574,0.00009086308,0.0003673771,0.00005137491,0.00001097972],"category_scores_gemma":[0.0001588579,0.00008117245,0.00002661219,0.0001188938,0.000007707687,0.0002954384,0.00001540738,0.000192245,0.00001232129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001814655,"about_ca_system_score_gemma":0.00003314107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009893044,"about_ca_topic_score_gemma":0.0001112693,"domain_scores_codex":[0.9993687,0.0000036808,0.000248312,0.00007431443,0.0001076786,0.0001973176],"domain_scores_gemma":[0.9993435,0.00003908874,0.00003263298,0.0002774036,0.00005260084,0.0002547445],"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":[4.928184e-7,8.667828e-7,0.00004036022,0.00001259283,0.00001157003,8.850751e-7,0.00008025351,0.9606043,0.03610479,0.0003143696,0.0005551552,0.002274409],"study_design_scores_gemma":[0.00005821301,0.00000289598,0.0006482919,0.0000372096,0.00001049246,0.00002021612,0.00000175391,0.9968855,0.001743296,0.0004478099,0.00004933396,0.00009494423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7091188,0.0001207649,0.289991,0.0003732975,0.0001948639,0.0001092902,0.00001225502,0.00003314707,0.00004648903],"genre_scores_gemma":[0.9836369,0.000001598494,0.01616669,0.00004839954,0.00008245224,0.000003929203,0.00002556513,0.000026349,0.000008116537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.274518,"threshold_uncertainty_score":0.3310117,"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."}}