{"id":"W2376801506","doi":"","title":"A dynamic optimization control approach of life cycle energy saving for heat exchanger network with bypasses","year":2013,"lang":"en","type":"article","venue":"Huagong xuebao","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Heat exchanger; Control theory (sociology); Engineering; Computer science; Mathematical optimization; Process engineering; Control (management); Mechanical engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007286209,0.0001620031,0.0002550698,0.00006600421,0.00006307755,0.0000436809,0.00008311698,0.00009411514,0.00006908023],"category_scores_gemma":[0.000009474537,0.0001452353,0.00005148925,0.0001994519,0.00002404896,0.0002525858,0.000005124276,0.00005636101,0.000001691471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003415887,"about_ca_system_score_gemma":0.00002147616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000930569,"about_ca_topic_score_gemma":0.00003941876,"domain_scores_codex":[0.9991737,0.00002207699,0.0002334664,0.0001630394,0.0001099949,0.0002976943],"domain_scores_gemma":[0.9995775,0.00006505199,0.00001504399,0.0001601626,0.00009235052,0.00008986967],"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":[0.00002673339,0.00002237028,0.000136224,0.0001422103,0.00006003903,1.410738e-7,0.0001087822,0.9978735,0.0003993102,0.0001499532,0.0003217471,0.0007590234],"study_design_scores_gemma":[0.0009372634,0.00006254268,0.0003977907,0.00004611084,0.00003954857,0.000001649415,0.00004507631,0.9980318,0.0001299899,0.0000310736,0.0001021358,0.0001750281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009399027,0.0005628331,0.9872625,0.0000459249,0.00009509691,0.0004450977,0.000008906096,0.000190641,0.00199],"genre_scores_gemma":[0.9404193,0.00008060323,0.05883345,0.00007973148,0.00008772661,0.0003006028,0.00007998954,0.00006311778,0.0000555245],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9310203,"threshold_uncertainty_score":0.5922523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00574554530193433,"score_gpt":0.1792388327186805,"score_spread":0.1734932874167462,"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."}}