{"id":"W2025367269","doi":"10.1504/ijpse.2015.071414","title":"Configurations for multiple thermal energy storages in thermal networks","year":2015,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Phase Change Materials Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Heat exchanger; Thermal energy storage; Thermal; Grid; Series (stratigraphy); Thermal energy; Energy (signal processing); Space (punctuation); Computer science; Engineering; Mechanical engineering; Physics; Mathematics; Thermodynamics; Operating system; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003738222,0.0001265583,0.0002092532,0.00031994,0.0000109196,0.0001136652,0.0003584009,0.00007014436,0.000006145887],"category_scores_gemma":[0.0001560148,0.0001191778,0.00004781823,0.00009752713,0.000009071781,0.0003514249,0.00001687448,0.0001316658,0.000001044253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002220957,"about_ca_system_score_gemma":0.00005586042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002214135,"about_ca_topic_score_gemma":0.000007801552,"domain_scores_codex":[0.99889,0.0000192926,0.0004482723,0.00007519507,0.0003597414,0.0002074593],"domain_scores_gemma":[0.9990894,0.0001095433,0.00009155569,0.00006405995,0.0005389408,0.0001065396],"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":[0.00004380006,0.00001746476,0.0001492936,0.0000581701,0.00008349785,0.00003617517,0.0003421281,0.9524588,0.0461192,0.0001182966,0.0001339277,0.0004392586],"study_design_scores_gemma":[0.0011778,0.00004078539,0.0001583129,0.0002210861,0.000005214472,0.00007250624,0.0001968727,0.9818848,0.01409811,0.000009507386,0.001996062,0.0001389716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6947277,0.002670368,0.296266,0.0000689691,0.005616665,0.0002127633,0.00003670845,0.00009459869,0.000306235],"genre_scores_gemma":[0.9982423,0.0000179259,0.0002191483,0.000005221214,0.001383725,0.00006311276,0.00001055233,0.00004009485,0.00001796907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3035145,"threshold_uncertainty_score":0.4859929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03731608644012827,"score_gpt":0.287491932229847,"score_spread":0.2501758457897187,"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."}}