{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004372938,0.0008224702,0.0007046483,0.0004326026,0.0005171951,0.000905149,0.0006913436,0.0005061349,0.001394064],"category_scores_gemma":[0.0003976844,0.0004192958,0.0005759979,0.0004682301,0.0005629175,0.0007116629,0.0005550878,0.0005677926,0.0001114408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008483988,"about_ca_system_score_gemma":0.001220855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00912581,"about_ca_topic_score_gemma":0.005769875,"domain_scores_codex":[0.9998114,0.00004557849,0.000007632862,0.00005684444,0.00005027797,0.00002830627],"domain_scores_gemma":[0.9999177,0.00002916204,0.00001487351,0.000004299716,0.00002791209,0.000006005],"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":[0.00002771433,0.00001536389,0.0001581138,0.00007000057,0.00001860205,0.00003121033,0.00003808123,0.9764122,0.004229106,0.007019515,0.0002434886,0.01173656],"study_design_scores_gemma":[0.00000369379,0.00002025547,0.00004470457,0.000001983338,0.000004239866,0.000003347657,0.000005440535,0.9986071,0.0003251401,0.0007069581,0.0002740898,0.000002974465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02033878,0.0003459557,0.9736963,0.0001122298,0.00003890213,0.00004653054,0.0000198715,0.0001169539,0.005284471],"genre_scores_gemma":[0.9153162,0.0006072201,0.0779345,0.00004820195,0.00004262956,0.0002805238,0.00005521686,0.0000476852,0.005667747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00912581,"threshold_uncertainty_score":0.01814538,"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."}}