{"id":"W3087366400","doi":"10.1002/cjce.23886","title":"A two‐step coordinated optimization model for a dewatering process","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Foundation for Innovative Research Groups of the National Natural Science Foundation of China; National Natural Science Foundation of China","keywords":"Dewatering; Production (economics); Process (computing); Mathematical optimization; Genetic algorithm; Computer science; Filter (signal processing); Process engineering; Engineering; Mathematics; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001050589,0.0001108679,0.0001648089,0.00005384845,0.00003839121,0.00006955865,0.0001913119,0.00004846518,0.00001263243],"category_scores_gemma":[0.0002149884,0.00009056067,0.00006404497,0.0001673085,0.00001801843,0.0001140334,0.000005570521,0.0001805542,8.80293e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007470478,"about_ca_system_score_gemma":0.00008272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000844039,"about_ca_topic_score_gemma":0.00000638693,"domain_scores_codex":[0.9993585,0.000002657948,0.0002699747,0.000057058,0.00008056094,0.000231284],"domain_scores_gemma":[0.9993736,0.00003464269,0.0000391794,0.00005427967,0.0001113938,0.0003868931],"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":[0.000004244187,0.000001381964,8.170426e-7,0.0001260623,0.00002351721,0.000002249687,0.0004726681,0.9956253,0.003164767,0.0003023707,0.00007639302,0.0002002105],"study_design_scores_gemma":[0.0003163381,0.00001052409,4.151377e-8,0.00004827134,0.00002475258,0.00001805148,0.00001483509,0.9919916,0.007308565,0.00007565189,0.00008445291,0.0001069079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008916669,0.00008673851,0.9900961,0.0005368409,0.00006997489,0.0001379005,0.000003853364,0.00006976759,0.00008217327],"genre_scores_gemma":[0.929916,8.481663e-7,0.06984406,0.00008789988,0.00009694291,0.000008484114,0.000002632667,0.00003960666,0.000003486671],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9209993,"threshold_uncertainty_score":0.3692957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527583138001907,"score_gpt":0.2090566847865944,"score_spread":0.1937808534065754,"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."}}