{"id":"W1997570081","doi":"10.1002/cjce.21718","title":"Modelling and optimisation of continuous catalytic regeneration process using bee colony algorithm","year":2012,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Process (computing); Swarm intelligence; Nonlinear system; Algorithm; Genetic algorithm; Computer science; Ant colony; Mathematical optimization; Benchmark (surveying); Process engineering; Engineering; Mathematics; Particle swarm optimization; Ant colony optimization algorithms; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001679794,0.00007939855,0.0001257344,0.00009817352,0.0000311661,0.00002691988,0.00007175364,0.00005953571,0.000004318555],"category_scores_gemma":[0.00005082799,0.00006803407,0.00002351007,0.0001171934,0.0000238042,0.0002872914,0.000002425958,0.0001447699,3.722812e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001107423,"about_ca_system_score_gemma":0.0000800415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001071708,"about_ca_topic_score_gemma":0.000008921468,"domain_scores_codex":[0.9994799,0.000004314218,0.0002430189,0.00003339108,0.00009144004,0.0001479546],"domain_scores_gemma":[0.9995735,0.00001928098,0.00006838273,0.00004012152,0.0001353698,0.0001632994],"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":[0.000001157985,0.000001733824,0.00002032975,0.00003262905,0.00001468248,3.436719e-7,0.0005672686,0.9765052,0.02213429,0.00006387014,0.00001411587,0.0006444058],"study_design_scores_gemma":[0.0000844563,0.000005188938,0.000002361152,0.00004745836,0.00002183354,0.00004826983,0.00002708884,0.8195822,0.180072,0.00002310538,0.00002722947,0.00005883607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6248727,0.00116281,0.3736532,0.00003733208,0.0001431842,0.00006073737,0.000004868556,0.00001370881,0.00005141765],"genre_scores_gemma":[0.9873845,0.00001036981,0.01243815,0.00000802877,0.0001359576,0.000001158374,0.000003434213,0.00001614473,0.00000227989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3625117,"threshold_uncertainty_score":0.2774349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264517632586243,"score_gpt":0.2001867680067795,"score_spread":0.1875415916809171,"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."}}