{"id":"W2084033100","doi":"10.1002/apj.5500140317","title":"Heat Exchanger Network Dynamic Analysis","year":2006,"lang":"en","type":"article","venue":"Developments in Chemical Engineering and Mineral Processing","topic":"Process Optimization and Integration","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Jacobs (Canada)","funders":"","keywords":"Heat exchanger; Flexibility (engineering); Process integration; Process (computing); Heuristic; Capital cost; Dynamic simulation; Process control; Process engineering; Computer science; Engineering; Mechanical engineering; Simulation","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":[0.0003376952,0.0005331176,0.0005348335,0.0008053209,0.0005927354,0.0008385441,0.0006758973,0.0007174726,0.01315233],"category_scores_gemma":[0.001073756,0.00038639,0.0006401828,0.0004678029,0.0005130942,0.0008757927,0.0004387614,0.0006398262,0.0006551601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508522,"about_ca_system_score_gemma":0.0008333384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01766085,"about_ca_topic_score_gemma":0.008510341,"domain_scores_codex":[0.9997939,0.00004793176,0.000005269344,0.00004151409,0.00007074336,0.00004062983],"domain_scores_gemma":[0.9996413,0.000197196,0.00003083574,0.00001917198,0.00009756513,0.00001380848],"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":[0.000007737126,0.000004190234,0.00008154265,0.000009188029,0.000003504058,0.00000848395,0.0000045209,0.994622,0.0003370498,0.003635361,0.00009180178,0.001194642],"study_design_scores_gemma":[0.000002420567,0.000003383321,0.00006181143,0.000001734972,0.000001546192,0.000002394697,0.000003174586,0.9987527,0.0001125135,0.0008164577,0.0002404703,0.000001329806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1914938,0.0007905185,0.6654461,0.0005911957,0.00008012616,0.0002576413,0.0009377247,0.0005284661,0.1398745],"genre_scores_gemma":[0.9704977,0.0002486413,0.01107137,0.0000624949,0.00001569247,0.0002248824,0.0002667641,0.00006399713,0.01754843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01766085,"threshold_uncertainty_score":0.04399896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004032628779921575,"score_gpt":0.1957843212177495,"score_spread":0.1917516924378279,"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."}}