{"id":"W2362377119","doi":"","title":"Structural controllability analysis for heat exchanger networks with bypass control","year":2012,"lang":"en","type":"article","venue":"Huagong xuebao","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Controllability; Redundancy (engineering); Control theory (sociology); Heat exchanger; Computer science; Coupling (piping); Control (management); Topology (electrical circuits); Mathematical optimization; Mathematics; Control engineering; Engineering; Mechanical engineering; Applied mathematics; Reliability engineering","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":[0.0001916346,0.0001780944,0.0003426938,0.00006642486,0.00008182992,0.00004202383,0.00007117931,0.0001004176,0.0001237364],"category_scores_gemma":[0.000009729131,0.0001420318,0.0001295453,0.0003398962,0.00002888035,0.0002369773,0.000003174091,0.00009737458,0.000003029704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005898003,"about_ca_system_score_gemma":0.000007005921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002459136,"about_ca_topic_score_gemma":0.0001038779,"domain_scores_codex":[0.9990479,0.00003150995,0.0001933752,0.0001480883,0.0001098127,0.0004693641],"domain_scores_gemma":[0.999455,0.0001068642,0.00000768205,0.0002108905,0.00006827527,0.0001512512],"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":[0.00009724566,0.0000101696,0.04462047,0.0000302597,0.0005934829,3.324851e-7,0.0002071613,0.953435,0.0001285453,0.00008068778,0.0001928429,0.0006037739],"study_design_scores_gemma":[0.001747147,0.00003909245,0.04727129,0.000004800522,0.000675483,0.000001742922,0.00002928955,0.9491869,0.0002002286,0.000006340449,0.0006084849,0.000229194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1575755,0.0008892282,0.8397539,0.00006923874,0.000267276,0.0005403013,0.00004529697,0.0002415569,0.0006177676],"genre_scores_gemma":[0.9982059,0.00001276617,0.001113045,0.00008448346,0.0003272242,0.0001072953,0.00007899765,0.00003372404,0.00003657174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8406304,"threshold_uncertainty_score":0.5791889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01038547944832254,"score_gpt":0.2121788124543643,"score_spread":0.2017933330060418,"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."}}