{"id":"W2000408538","doi":"10.1021/ie020893z","title":"A Controllability Index for Heat Exchanger Networks","year":2003,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Process Optimization and Integration","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Controllability; Heat exchanger; Process integration; Work (physics); Computer science; Process engineering; Process (computing); Index (typography); Network controllability; Controllability Gramian; Mechanical engineering; Mathematics; Engineering; Applied mathematics; Statistics","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":[0.0008973737,0.000173212,0.0002035522,0.00007285799,0.00008219633,0.0001014221,0.0001729052,0.000378854,0.0002047262],"category_scores_gemma":[0.001365432,0.0001825397,0.00006504796,0.0004809768,0.0000359535,0.0001158952,0.00001588283,0.0007034899,0.000004564735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002329236,"about_ca_system_score_gemma":0.00007712052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000541436,"about_ca_topic_score_gemma":8.194069e-7,"domain_scores_codex":[0.9986784,0.00002574154,0.0002587381,0.0002305359,0.0002715724,0.0005349688],"domain_scores_gemma":[0.9990681,0.0002519823,0.00001048124,0.000245668,0.0002592386,0.0001645579],"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":[0.00003845506,0.00002401183,0.0001143534,0.0001054692,0.00003788143,0.000001088708,0.00002962807,0.9123313,0.07845599,0.0001318916,0.00795026,0.0007796281],"study_design_scores_gemma":[0.001168997,0.00001975677,0.00000687018,0.00003684027,0.000004551551,0.000003124804,0.00002992198,0.7864873,0.1677479,0.00002550364,0.04428237,0.0001869191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2803311,0.005147902,0.6437289,0.0008647536,0.004897242,0.00649915,0.0001925402,0.004223441,0.05411493],"genre_scores_gemma":[0.998381,0.00003591696,0.00009305985,0.000006495593,0.0006013478,0.0003204619,0.00003559927,0.00005069534,0.0004754488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7180498,"threshold_uncertainty_score":0.7443754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06945698778539262,"score_gpt":0.3101413370955609,"score_spread":0.2406843493101683,"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."}}