{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000652481,0.0001582629,0.0001829212,0.0001811803,0.00002681278,0.00005642935,0.00005673604,0.0000853631,0.000008336671],"category_scores_gemma":[0.00001075277,0.0001601632,0.00002326658,0.0007665586,0.00001131281,0.0001594264,0.00001690252,0.000129866,0.000001211678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008156511,"about_ca_system_score_gemma":0.00001030251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000781099,"about_ca_topic_score_gemma":0.000008862837,"domain_scores_codex":[0.9992364,0.000002359913,0.000244664,0.0001674979,0.0000940454,0.0002550137],"domain_scores_gemma":[0.9998645,0.00001056336,0.000008743216,0.00004854809,0.00002420784,0.00004350429],"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":[0.000003176668,0.0000113051,0.0008051582,0.0001428408,0.00003116756,0.000002400074,0.00008848639,0.9561763,0.03650985,0.00002298756,0.0001165991,0.006089655],"study_design_scores_gemma":[0.0001814347,0.000001678509,0.001757798,0.0000793143,0.00002030124,0.000002706052,0.000005272407,0.9928165,0.004321391,0.00002655708,0.000563886,0.0002231627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7810053,0.00306261,0.2123438,0.00004345073,0.0001939861,0.000113302,0.000002230519,0.0005463243,0.002689033],"genre_scores_gemma":[0.9712281,0.00003693,0.02844328,0.00002627931,0.00004854111,0.00002142511,0.00007041118,0.00002217683,0.0001028541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1902228,"threshold_uncertainty_score":0.6531264,"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."}}