{"id":"W4413915958","doi":"10.1016/j.ecmx.2025.101241","title":"Time-dependent multi-objective framework for heat exchanger network design in batch processes with integrated thermal energy storage","year":2025,"lang":"en","type":"article","venue":"Energy Conversion and Management X","topic":"Process Optimization and Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Heat exchanger; Thermal energy storage; Process engineering; Thermal; Computer science; Environmental science; Mechanical engineering; Engineering; Thermodynamics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009528355,0.0001735296,0.0001538783,0.0001840638,0.00007650622,0.00004802853,0.00009178769,0.00009042528,0.00006909585],"category_scores_gemma":[0.00001278468,0.0001457183,0.00001757841,0.0004360188,0.00002531278,0.0001627702,0.00003333822,0.00006691477,0.000001737129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008017666,"about_ca_system_score_gemma":0.00002607912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003743892,"about_ca_topic_score_gemma":0.0001184944,"domain_scores_codex":[0.9993227,0.00003436835,0.0001373094,0.0002250338,0.00008524684,0.0001953813],"domain_scores_gemma":[0.9996872,0.00008079479,0.0000215343,0.0001000412,0.00007354844,0.00003690935],"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":[0.0003511889,0.00006280894,0.00002615502,0.0003232594,0.0001356563,0.000006446008,0.0002547178,0.9775946,0.00006894977,0.008243824,0.00392336,0.009009052],"study_design_scores_gemma":[0.001512025,0.0001144778,0.00004128634,0.0004950279,0.00004421458,4.190406e-7,0.0005900434,0.97236,0.003651384,0.0003391971,0.0205771,0.0002748847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000307267,0.00105746,0.9960022,0.00009505097,0.0001672832,0.0002278845,0.000001736981,0.0001640285,0.00197707],"genre_scores_gemma":[0.8970738,0.008856145,0.07423568,0.00185732,0.00009180114,0.0008389299,0.0001488895,0.00008668927,0.01681071],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9217665,"threshold_uncertainty_score":0.5942219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00795048942885989,"score_gpt":0.2065320188389415,"score_spread":0.1985815294100816,"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."}}