{"id":"W3135451315","doi":"10.1002/cjce.24105","title":"Real‐time dynamic energy efficiency evaluation and analysis of industrial processes based on multi‐objective state transition algorithm with reference vector","year":2021,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Energy Efficiency and Management","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Efficient energy use; Computer science; Process (computing); Statistic; Key (lock); Energy consumption; Mathematical optimization; Reliability engineering; Algorithm; Data mining; Engineering; Mathematics; Statistics","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":[0.001808097,0.0008408765,0.0007853283,0.001078108,0.0004380917,0.001102966,0.0005221116,0.0005302489,0.0008302523],"category_scores_gemma":[0.001981999,0.0002771623,0.0007204881,0.0008343911,0.0004183478,0.0007459956,0.0005519813,0.0005332042,0.0001317687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007783722,"about_ca_system_score_gemma":0.000698192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005800074,"about_ca_topic_score_gemma":0.0031423,"domain_scores_codex":[0.999278,0.0002525145,0.00005483408,0.000144679,0.0002165793,0.00005347157],"domain_scores_gemma":[0.9992574,0.0003541833,0.00009575748,0.00003939042,0.0002320194,0.00002124024],"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":[0.0001535937,0.0001105882,0.0019406,0.0001031171,0.00005821731,0.0000367692,0.00006813178,0.8985441,0.006437718,0.002423206,0.0003039948,0.08982002],"study_design_scores_gemma":[0.000002732191,0.00002546635,0.0002059748,0.000001652534,0.000003767706,0.000002524599,0.000003216994,0.9990193,0.0005358774,0.0001497748,0.00004622094,0.000003519993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06729824,0.0001869556,0.930291,0.00007640674,0.00002650176,0.00006588576,0.00002209605,0.0004099096,0.001623001],"genre_scores_gemma":[0.9135795,0.00009704258,0.08516682,0.00002071833,0.000008246007,0.0001196587,0.00006316254,0.00002532048,0.0009194394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005800074,"threshold_uncertainty_score":0.0115326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051997896524752,"score_gpt":0.21093024572791,"score_spread":0.2004102667626625,"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."}}