{"id":"W2380172364","doi":"","title":"Optimal design of bypass location on heat exchanger networks based on structural controllability","year":2011,"lang":"en","type":"article","venue":"Huagong xuebao","topic":"Process Optimization and Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Controllability; Heat exchanger; Control theory (sociology); Optimal design; Mathematical optimization; Optimal control; Control (management); Computer science; Control engineering; Engineering; Mathematics; Mechanical engineering; Applied 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":[0.0001452609,0.0001452911,0.0001627046,0.00008504405,0.00003982438,0.00001733589,0.00009536863,0.0001015337,0.0002997121],"category_scores_gemma":[0.00005664475,0.0001280046,0.00003622072,0.0001826385,0.00003259057,0.0001334827,0.00000449375,0.0001198337,0.0000119334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006807368,"about_ca_system_score_gemma":0.00001933185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001740311,"about_ca_topic_score_gemma":0.000004265169,"domain_scores_codex":[0.9992871,0.00004834582,0.0002176243,0.0001523074,0.000134449,0.0001601817],"domain_scores_gemma":[0.9995117,0.0000583545,0.00003449217,0.0002121312,0.0001333769,0.00005000224],"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":[0.0001784906,0.00002362354,0.00008960513,0.00002328759,0.00001080869,3.511162e-7,0.0001653307,0.9971796,0.0003026114,0.0002254424,0.0004804716,0.001320341],"study_design_scores_gemma":[0.0004866667,0.0001715616,0.001470704,0.00003479397,0.0000107092,3.587632e-7,0.00002405238,0.9863684,0.01125416,0.00002576704,0.00003044653,0.0001224022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01801125,0.00009228638,0.9763824,0.00002932292,0.0003157283,0.0003456694,0.000005331164,0.0002014416,0.004616578],"genre_scores_gemma":[0.99326,0.000007562092,0.00644359,0.0001085116,0.00005357782,0.00003353121,0.00002834898,0.00002263026,0.00004230317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9752487,"threshold_uncertainty_score":0.5219878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500163170316918,"score_gpt":0.21759510079332,"score_spread":0.1925934690901508,"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."}}