{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003966737,0.0005685762,0.0002846227,0.0005404284,0.0002664001,0.0003963188,0.0003465492,0.0002746382,0.001815516],"category_scores_gemma":[0.00115502,0.0001835921,0.0005443492,0.0002155335,0.0005720734,0.0006562991,0.0003862668,0.0003923574,0.00005972214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005860977,"about_ca_system_score_gemma":0.0004202352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003750739,"about_ca_topic_score_gemma":0.002024913,"domain_scores_codex":[0.9997287,0.00005571209,0.000009712992,0.0000716307,0.00009506573,0.00003900608],"domain_scores_gemma":[0.9995658,0.0002178429,0.0000935123,0.0000216056,0.00008005978,0.00002115436],"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":[0.00009849958,0.00003678095,0.001498102,0.00007227761,0.00003619497,0.0001033787,0.0001023907,0.9167243,0.02108691,0.04751872,0.0001896483,0.01253271],"study_design_scores_gemma":[0.000004163156,0.00003591462,0.0004961857,0.000001526376,0.000006189317,0.000009350207,0.00001054611,0.9924607,0.001100333,0.005767216,0.0001045892,0.000003363716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2625493,0.000135415,0.7307337,0.00009481335,0.00001391022,0.00004151074,0.00006726609,0.0001174632,0.006246604],"genre_scores_gemma":[0.9940257,0.00006885886,0.004912875,0.000007288454,0.000008098555,0.00004377282,0.00004685286,0.000007789849,0.0008788158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003750739,"threshold_uncertainty_score":0.007457793,"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."}}