{"id":"W3045515744","doi":"10.1002/cjce.23851","title":"Modelling study of emulsion latex coagulation processes in coagulators","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coagulation; Population balance equation; Residence time (fluid dynamics); Turbulence; Population; Particle (ecology); Mechanics; Emulsion; Materials science; Chemistry; Engineering; Chemical engineering; 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":[0.000291927,0.0003616668,0.000456956,0.0002632524,0.0003266917,0.0006387268,0.0005432648,0.0009090248,0.00067683],"category_scores_gemma":[0.0005769168,0.000172057,0.0004965499,0.0002229361,0.0004854047,0.0003441307,0.0003413439,0.0004215536,0.0001751681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000544074,"about_ca_system_score_gemma":0.0006043545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004994136,"about_ca_topic_score_gemma":0.001940522,"domain_scores_codex":[0.9998719,0.00002652025,0.000007377264,0.00002731308,0.00004505176,0.0000218339],"domain_scores_gemma":[0.9996706,0.0001808604,0.00005042994,0.00002516866,0.00005249007,0.0000205241],"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":[0.0001064097,0.00009338225,0.001743286,0.00007561885,0.00002493369,0.0003218097,0.00007823532,0.8757323,0.1159076,0.001340079,0.0001035116,0.004472734],"study_design_scores_gemma":[0.00001646976,0.00007238277,0.0006167318,0.000003356656,0.000005197438,0.00002842297,0.00001087632,0.9877771,0.01112248,0.0001075378,0.0002334228,0.000006022398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9300709,0.000327494,0.06521595,0.00007460653,0.00002796502,0.00006719651,0.00009795327,0.0001415583,0.003976338],"genre_scores_gemma":[0.988737,0.000149022,0.009698979,0.00001178361,0.000005081276,0.00003566728,0.00004710686,0.00001400743,0.001301317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004994136,"threshold_uncertainty_score":0.009930134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02459690903999998,"score_gpt":0.2106447054376982,"score_spread":0.1860477963976982,"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."}}