{"id":"W2315511163","doi":"10.1061/9780784412121.451","title":"Efficiency of a Community-Scale Borehole Thermal Energy Storage Technique for Solar Thermal Energy","year":2012,"lang":"en","type":"article","venue":"GeoCongress 2012","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Renewable Energy Laboratory","keywords":"Borehole; Thermal energy storage; Environmental science; Thermal; Solar energy; Thermal energy; Heat transfer; Nuclear engineering; Meteorology; Geology; Thermodynamics; Engineering; Geotechnical engineering; Electrical engineering; Geography; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002032298,0.0003737197,0.0003118752,0.0002266074,0.0003614395,0.0003044458,0.0005478606,0.000260976,0.001185238],"category_scores_gemma":[0.0003056644,0.0001600964,0.0004110062,0.0004115787,0.0002428966,0.0005697689,0.0002493521,0.0002186269,0.000140866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006581384,"about_ca_system_score_gemma":0.0005264304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01065493,"about_ca_topic_score_gemma":0.01771279,"domain_scores_codex":[0.999902,0.00001446213,0.000004674962,0.00002312576,0.00003594634,0.00001973924],"domain_scores_gemma":[0.9998732,0.00003903736,0.00002041069,0.00002024777,0.00003677127,0.00001047054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001157049,0.0008395721,0.0329728,0.0003506181,0.00006545028,0.00038002,0.0002023672,0.5181037,0.3843325,0.001318835,0.001367722,0.05890927],"study_design_scores_gemma":[0.0000799918,0.001112051,0.01845531,0.00001036563,0.00003764733,0.0002196089,0.0001167231,0.8460285,0.132121,0.00037544,0.001396111,0.0000473409],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983721,0.00010122,0.01369515,0.0000513287,0.00001362768,0.00003549378,0.0001782859,0.0002327132,0.00197112],"genre_scores_gemma":[0.9979924,0.00002585544,0.001695795,0.000001972837,5.758055e-7,0.000007820965,0.00005455143,0.000004257769,0.0002167122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01065493,"threshold_uncertainty_score":0.02118582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588016317634715,"score_gpt":0.2447285785187553,"score_spread":0.2288484153424081,"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."}}