{"id":"W2032535418","doi":"10.1002/cjce.21882","title":"Solution of the dynamic population balance equation describing breakage–coalescence systems in agitated vessels: The least‐squares method","year":2013,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coalescence (physics); Notation; Population; Breakage; Least-squares function approximation; Population balance equation; Computer science; Applied mathematics; Mathematics; Process engineering; Mathematical optimization; Engineering; Statistics; 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":[0.001418852,0.0007555024,0.0009363324,0.0003575202,0.0003732905,0.0008461483,0.00101894,0.001553021,0.002561441],"category_scores_gemma":[0.002913921,0.0004432985,0.000761819,0.0004732079,0.0006355824,0.000637522,0.001279527,0.001674851,0.0006830579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005315193,"about_ca_system_score_gemma":0.001688004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008932663,"about_ca_topic_score_gemma":0.004808192,"domain_scores_codex":[0.9996283,0.0001476217,0.00001808352,0.00005847697,0.0001155675,0.00003192752],"domain_scores_gemma":[0.998779,0.0008740576,0.00007567054,0.00003200226,0.0002095011,0.00002966358],"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":[0.00004251203,0.00003201249,0.0005189467,0.0001907189,0.0000263074,0.0001274428,0.0001059107,0.9531407,0.004076156,0.01637034,0.001043874,0.02432512],"study_design_scores_gemma":[0.000006648563,0.00001041496,0.0000569091,0.000004878161,0.000002504693,0.000007805269,0.00001271835,0.9962974,0.0004161221,0.002612194,0.0005671328,0.000005218218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007180242,0.0002340053,0.9895123,0.0003170234,0.000032334,0.00005113936,0.0000610639,0.0001220744,0.002489817],"genre_scores_gemma":[0.3373824,0.001224942,0.6402199,0.0003014956,0.0001304462,0.0007711802,0.0004772955,0.0002546571,0.01923771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008932663,"threshold_uncertainty_score":0.01776129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230086860842617,"score_gpt":0.191051973888647,"score_spread":0.1787511052802208,"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."}}