{"id":"W4211004754","doi":"10.1002/9781119181002.ch4","title":"Underground Thermal Energy Storage","year":2016,"lang":"en","type":"other","venue":"Geothermal Energy","topic":"Phase Change Materials Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Thermal energy storage; Borehole; Environmental science; Energy storage; Sensible heat; Thermal energy; Thermal; Geothermal gradient; Energy recovery; Geothermal energy; Petroleum engineering; Energy (signal processing); Geology; Meteorology; Geotechnical engineering; Geophysics; Atmospheric sciences; Thermodynamics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008482416,0.0005630004,0.0004939368,0.0004220857,0.00004155363,0.00007856023,0.0005724641,0.0005457933,0.05051131],"category_scores_gemma":[0.000004957335,0.0004722381,0.0001304542,0.0001159406,0.000116291,0.00007788808,0.0001328156,0.0001360825,0.0009557925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001857716,"about_ca_system_score_gemma":0.00005096718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001379038,"about_ca_topic_score_gemma":0.000694859,"domain_scores_codex":[0.997995,0.00009770818,0.0002496013,0.0004067001,0.0004095595,0.0008413897],"domain_scores_gemma":[0.99896,0.00004305507,0.00007402342,0.0006911223,0.00002093328,0.0002108557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003041729,0.00004840432,0.000001086287,0.0001936536,0.0004887952,0.0002335841,0.00003275072,0.001016105,0.06574523,0.009743694,0.8859041,0.03656219],"study_design_scores_gemma":[0.0004589433,0.00002127373,0.00000415593,0.0001412922,0.00001428154,0.0000110576,0.000003623369,0.0005820787,0.004638101,0.0001585424,0.9933636,0.0006030162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001420676,0.003617139,0.005959277,0.00003997932,0.001607887,0.00007165755,0.0002661547,0.001515503,0.9867803],"genre_scores_gemma":[0.01608214,0.00156351,0.0000477815,0.0001732448,0.003636825,0.0001284736,0.0001096618,0.00226567,0.9759927],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1074595,"threshold_uncertainty_score":0.9998221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564597317747596,"score_gpt":0.2377585976380699,"score_spread":0.222112624460594,"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."}}