{"id":"W2802484730","doi":"10.7939/r3tq5rt5q","title":"Finite Element Modeling of Thermal Insulation Effects in a Borehole Thermal Energy Storage","year":2017,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Borehole; Thermal; Finite element method; Thermal energy storage; Thermal insulation; Environmental science; Geology; Geotechnical engineering; Materials science; Engineering; Structural engineering; Composite material; Physics; Meteorology; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004137381,0.0001018577,0.0001901564,0.00009854638,0.0001331575,0.00001421631,0.0003841802,0.00008237753,0.0001797911],"category_scores_gemma":[0.00001012511,0.0001109221,0.00007645624,0.00006804941,0.00005980843,0.0005506579,0.0001545859,0.00005721335,0.000005358872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001215762,"about_ca_system_score_gemma":0.00003936486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07441334,"about_ca_topic_score_gemma":0.001630325,"domain_scores_codex":[0.9993768,0.00005611635,0.0001599124,0.0001645741,0.0001045749,0.0001380396],"domain_scores_gemma":[0.9992079,0.00007976207,0.0002136745,0.0004365272,0.00001692066,0.00004517753],"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":[0.00008160913,0.000122131,0.008942512,0.0000429336,0.00004311602,0.000006836274,0.001703647,0.8924021,0.00464659,0.08976941,0.00001546824,0.00222366],"study_design_scores_gemma":[0.001500334,0.00006748152,0.1000907,0.000150633,0.00002332049,3.881397e-7,0.0003074607,0.8862978,0.002989709,0.0005851873,0.0077652,0.0002217321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9358729,0.00004146979,0.001042307,0.0001955195,0.00003251994,0.00007095544,0.00000310406,0.00001499555,0.06272627],"genre_scores_gemma":[0.9968936,0.00001071027,0.0003902322,0.00002656008,0.00003086426,8.903823e-7,0.00002954994,0.00001559944,0.002601931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09114822,"threshold_uncertainty_score":0.9317502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008847458443443921,"score_gpt":0.179504366132617,"score_spread":0.170656907689173,"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."}}