{"id":"W2071039960","doi":"10.1016/j.applthermaleng.2008.12.011","title":"Optimal assignment of multiple utilities in heat exchange networks","year":2008,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Pinch analysis; Heat exchanger; Pinch; Energy (signal processing); Mathematical optimization; Mathematics; Computer science; Mechanical engineering; Mechanics; Algorithm; Engineering; Physics","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":[0.002160875,0.001373205,0.002177583,0.001267497,0.001226535,0.002205095,0.002264239,0.001790244,0.005782206],"category_scores_gemma":[0.005854843,0.001193984,0.0008369221,0.001662491,0.001390712,0.002864797,0.001710777,0.001350618,0.0004961331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002227015,"about_ca_system_score_gemma":0.001198967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006036912,"about_ca_topic_score_gemma":0.006570475,"domain_scores_codex":[0.9985568,0.0007661681,0.00004349128,0.0002592367,0.0001186548,0.0002556407],"domain_scores_gemma":[0.9980997,0.001185058,0.000174641,0.0001136501,0.0001993194,0.0002275915],"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":[0.0001907785,0.00006284617,0.0003165568,0.00003763881,0.00002422624,0.00004246318,0.00003986438,0.9794856,0.0003999476,0.00760045,0.0004277205,0.01137194],"study_design_scores_gemma":[0.00002134466,0.0000347813,0.00008976288,0.00000479222,0.00001258744,0.00000667403,0.0000264586,0.9910182,0.0002891814,0.008282327,0.0002085521,0.000005402713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2407181,0.0004545462,0.746911,0.0005351873,0.0001102493,0.0002890041,0.000227305,0.0002792465,0.01047532],"genre_scores_gemma":[0.9374839,0.0001678195,0.05565224,0.00004313871,0.00003883019,0.0001774233,0.0001101424,0.00005214813,0.006274326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006036912,"threshold_uncertainty_score":0.01934344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009090269622117468,"score_gpt":0.1695902079729165,"score_spread":0.1604999383507991,"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."}}