{"id":"W2004748234","doi":"10.1016/j.applthermaleng.2012.10.045","title":"Retrofitting heat exchanger networks using a modified network pinch approach","year":2012,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"Office of Energy Research and Development","keywords":"Pinch analysis; Retrofitting; Heat exchanger; Flexibility (engineering); Process engineering; Flue gas; Process (computing); Economizer; Work (physics); Computer science; Engineering; Waste management; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006997836,0.000952936,0.001021301,0.0007761591,0.0006883974,0.0008814306,0.002095641,0.001113035,0.005770064],"category_scores_gemma":[0.001276284,0.0006909322,0.0007693222,0.0008824517,0.00039481,0.001593972,0.00102113,0.001136033,0.0007848532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005259519,"about_ca_system_score_gemma":0.0007861587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002452389,"about_ca_topic_score_gemma":0.005110581,"domain_scores_codex":[0.9994705,0.0001496429,0.0000231325,0.0001072228,0.0002027684,0.00004666592],"domain_scores_gemma":[0.9996948,0.0001009906,0.00002978323,0.00007757643,0.00008457639,0.0000122458],"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":[0.00008020251,0.0001541987,0.0004934407,0.00006088122,0.00005330542,0.00006359715,0.00003923169,0.9103447,0.009727961,0.005573663,0.000439676,0.07296909],"study_design_scores_gemma":[0.00001114247,0.00008208053,0.0001326455,0.000003944455,0.00001653394,0.00001799624,0.00001158532,0.9932827,0.004036264,0.001381512,0.00101324,0.00001026646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02824412,0.00006686967,0.9662037,0.00003764455,0.00005887478,0.0001017484,0.00003639603,0.0004951282,0.004755494],"genre_scores_gemma":[0.5195532,0.0001251278,0.4682038,0.00007202598,0.00004464635,0.0004007892,0.0001414608,0.0003976429,0.01106122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005770064,"threshold_uncertainty_score":0.01930279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147179258143032,"score_gpt":0.1929551904748333,"score_spread":0.1782372646605301,"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."}}