{"id":"W4410432922","doi":"10.1016/j.enbenv.2025.05.004","title":"Operating performance of middle-deep coaxial borehole heat exchangers based on TRNSYS simulation","year":2025,"lang":"en","type":"article","venue":"Energy and Built Environment","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Key Technology Research and Development Program of Shandong; Ministry of Natural Resources","keywords":"TRNSYS; Heat exchanger; Borehole; Coaxial; Geology; Environmental science; Mechanics; Mechanical engineering; Engineering; Geotechnical engineering; Meteorology; Thermal; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003947549,0.0005874705,0.0004916899,0.000405835,0.0003403992,0.0005063494,0.0006484844,0.0005489055,0.00227021],"category_scores_gemma":[0.0005497568,0.0002539546,0.0006915735,0.0002693191,0.0003715421,0.000499682,0.0003645798,0.0003780804,0.0001777538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006537164,"about_ca_system_score_gemma":0.0006925724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.015994,"about_ca_topic_score_gemma":0.006651889,"domain_scores_codex":[0.9998088,0.00003714695,0.00001353427,0.00003660733,0.00005703859,0.00004670803],"domain_scores_gemma":[0.9996697,0.0001562252,0.00003876378,0.00003281047,0.00007838081,0.00002420802],"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":[0.000167466,0.0000870858,0.004158185,0.00008024074,0.0000180261,0.00005694823,0.00007597135,0.9754972,0.01278942,0.0006154798,0.0002256717,0.006228329],"study_design_scores_gemma":[0.000008994926,0.00005459918,0.0007896197,0.000002792018,0.000004795295,0.000004858086,0.00001611951,0.9949014,0.004012836,0.00005700137,0.0001410197,0.000005840058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566537,0.0001022547,0.03754488,0.00005578833,0.00002124505,0.00004868265,0.000293613,0.00083532,0.004444681],"genre_scores_gemma":[0.9959539,0.00002357301,0.003387916,0.00000365429,0.000001030602,0.00002406414,0.00008419226,0.00001947551,0.0005022295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.015994,"threshold_uncertainty_score":0.03180176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314842214385805,"score_gpt":0.2123973917963532,"score_spread":0.1992489696524951,"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."}}