{"id":"W3192416621","doi":"10.1016/j.ces.2021.116994","title":"A new highly efficient and stable population array (PA) algorithm to solve multi-dimension population balance equation","year":2021,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Dimension (graph theory); Balance (ability); Population; Mathematics; Algorithm; Applied mathematics; Mathematical optimization; Computer science; Combinatorics; Biology; Demography","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":[0.0007417809,0.0008703504,0.001100734,0.0005554365,0.0006277529,0.000689794,0.001844631,0.001609146,0.003763979],"category_scores_gemma":[0.002378791,0.0005307619,0.0008146887,0.0008168467,0.0004855206,0.001065378,0.001478793,0.001679754,0.001107203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003542294,"about_ca_system_score_gemma":0.001538382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003157841,"about_ca_topic_score_gemma":0.003518638,"domain_scores_codex":[0.9996305,0.00009275394,0.00002167021,0.000085201,0.0001339399,0.00003592192],"domain_scores_gemma":[0.9992724,0.0003897582,0.00004601184,0.00004509161,0.0002072194,0.00003945102],"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":[0.00009121464,0.000120429,0.0009273791,0.0001680663,0.0001035997,0.00009356493,0.0001210802,0.7393723,0.007892596,0.01529462,0.00455741,0.2312577],"study_design_scores_gemma":[0.00001716493,0.00002119507,0.00004317576,0.000002763734,0.00000557109,0.00001403568,0.000004108632,0.997411,0.0003937409,0.00122474,0.0008582882,0.000004223067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00301893,0.00008112784,0.9953378,0.00006347201,0.00007211677,0.00003602674,0.000022881,0.0002304104,0.001137143],"genre_scores_gemma":[0.0647577,0.0001195076,0.9304894,0.0001676962,0.00008613616,0.0005243435,0.0001513673,0.0001200773,0.003583649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003763979,"threshold_uncertainty_score":0.01259172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284683153354694,"score_gpt":0.2302870416908006,"score_spread":0.2174402101572536,"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."}}