{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003703688,0.0007866177,0.0008199458,0.0004825969,0.0003941365,0.001171895,0.0006803672,0.001276159,0.001356273],"category_scores_gemma":[0.0007560112,0.0004409132,0.0005717937,0.0005938239,0.0005890201,0.0005082497,0.0003608488,0.000498049,0.0001812296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006988934,"about_ca_system_score_gemma":0.0008734763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01513211,"about_ca_topic_score_gemma":0.006149287,"domain_scores_codex":[0.9998461,0.00004502122,0.000007839737,0.00002832383,0.00005079784,0.00002189057],"domain_scores_gemma":[0.9997243,0.0001668516,0.0000315461,0.00001296876,0.00005319119,0.00001109296],"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":[0.000008098088,0.000006605503,0.000113421,0.00001309628,0.000004152212,0.00001873492,0.000006632906,0.9978766,0.000489367,0.0004108207,0.00003605793,0.001016406],"study_design_scores_gemma":[0.000002529333,0.000004588336,0.00004613335,0.000001220893,0.000001009791,0.000001689945,0.000001357937,0.9996864,0.0001029946,0.0001023082,0.00004883343,0.000001040923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2623878,0.001036399,0.7118583,0.0002881692,0.00006781582,0.000179028,0.000186803,0.0004481245,0.02354759],"genre_scores_gemma":[0.9567167,0.0002782971,0.03877903,0.00002159032,0.000009100918,0.0001771577,0.0001088844,0.00003330953,0.003875874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01513211,"threshold_uncertainty_score":0.03008807,"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."}}