{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00175086,0.0009627317,0.0004650344,0.002135892,0.0003987641,0.001268085,0.0006651315,0.0006916391,0.001916357],"category_scores_gemma":[0.009542353,0.0001818526,0.0005882949,0.001306589,0.001043773,0.002482673,0.000680701,0.0008035049,0.00022574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038686,"about_ca_system_score_gemma":0.0003793701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008617029,"about_ca_topic_score_gemma":0.0005760759,"domain_scores_codex":[0.9982302,0.0003369865,0.000166417,0.0002961804,0.0008501624,0.0001202676],"domain_scores_gemma":[0.9938684,0.003818351,0.0009798937,0.0003772001,0.0007390385,0.0002171143],"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":[0.0003748818,0.0002822801,0.006156657,0.0004015431,0.0001483576,0.0002823738,0.0002161462,0.5631708,0.06409256,0.168965,0.002346245,0.1935631],"study_design_scores_gemma":[0.00002149546,0.0004290634,0.0033779,0.00003515476,0.00004435418,0.0002691737,0.00004891156,0.925172,0.01950856,0.04650955,0.004513936,0.00006979049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0591701,0.00108479,0.9270715,0.0001321515,0.000106964,0.0001468391,0.0001628076,0.0004193586,0.01170551],"genre_scores_gemma":[0.9099935,0.000444207,0.08716521,0.00005049914,0.0001573188,0.0002121374,0.0002908157,0.0000678389,0.001618652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002135892,"threshold_uncertainty_score":0.009259522,"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."}}