{"id":"W2462193200","doi":"10.1002/cjce.22567","title":"Optimal synthesis of a heat‐integrated petroleum refinery configuration","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Refinery; Oil refinery; Heat exchanger; Configuration design; Mathematical optimization; Topology (electrical circuits); Work (physics); Network topology; Computer science; Engineering; Process engineering; Mechanical engineering; Waste management; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002672636,0.0004454566,0.000558842,0.0004368565,0.0003441533,0.0008698903,0.0003820913,0.0005892885,0.003241169],"category_scores_gemma":[0.0007117986,0.0004584477,0.0003801717,0.0004489164,0.0005075274,0.0006558288,0.0005002779,0.0004950648,0.0002968739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007170478,"about_ca_system_score_gemma":0.001548127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003628433,"about_ca_topic_score_gemma":0.006198983,"domain_scores_codex":[0.9998765,0.00002231957,0.000004697021,0.00003090921,0.00003432463,0.00003122618],"domain_scores_gemma":[0.9998348,0.00006731149,0.00003112599,0.00001724427,0.00003360336,0.00001591901],"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":[0.00003193607,0.00002054034,0.0002146878,0.0000376665,0.000007298546,0.00006072307,0.00002289861,0.9842672,0.004498331,0.003727106,0.0001983497,0.006913134],"study_design_scores_gemma":[0.00001765192,0.00007282402,0.00016514,0.000005971048,0.000009026347,0.00001380604,0.00003893835,0.9941571,0.002829011,0.002129135,0.000555895,0.000005492557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4890569,0.0002836164,0.4684702,0.0002237387,0.00005211894,0.0001891247,0.0003407068,0.0003759281,0.04100768],"genre_scores_gemma":[0.9103665,0.00009234053,0.0864649,0.00002203414,0.00000520881,0.0001040982,0.0001333567,0.00004228048,0.002769208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003628433,"threshold_uncertainty_score":0.01084286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005543525263169422,"score_gpt":0.1690344509104177,"score_spread":0.1634909256472482,"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."}}