{"id":"W2982388805","doi":"10.1007/s00603-019-01989-0","title":"Three-Dimensional Thermo-Poroelastic Modeling and Analysis of Flow, Heat Transport and Deformation in Fractured Rock with Applications to a Lab-Scale Geothermal System","year":2019,"lang":"en","type":"article","venue":"Rock Mechanics and Rock Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geomechanica (Canada)","funders":"U.S. Department of Energy","keywords":"Poromechanics; Mechanics; Fluid dynamics; Geology; Geotechnical engineering; Finite element method; Geothermal gradient; Discretization; Heat transfer; Fracture (geology); Deformation (meteorology); Geothermal energy; Porous medium; Porosity; Structural engineering; Engineering; Geophysics","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":[0.0001170503,0.0002423601,0.0004307294,0.000385357,0.00006746045,0.00001770105,0.00006850847,0.000119384,0.000003440089],"category_scores_gemma":[0.000001820175,0.0002194463,0.00004382972,0.0003968588,2.094061e-7,0.0001292348,0.00004274334,0.0001581586,0.000001058511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004963354,"about_ca_system_score_gemma":0.000012172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004684304,"about_ca_topic_score_gemma":0.0001288981,"domain_scores_codex":[0.998922,0.000004299202,0.000356494,0.0002785606,0.0001805065,0.0002580986],"domain_scores_gemma":[0.999586,0.00002517026,0.00002980698,0.0001783503,0.00005099844,0.0001296007],"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":[0.00001565252,0.000008315336,0.0001072131,0.0002975427,0.0001372345,7.170144e-7,0.0003698799,0.989624,0.008737241,0.0005798032,1.871869e-7,0.000122272],"study_design_scores_gemma":[0.0003740472,0.00004541141,0.0001403678,0.0001979173,0.000195475,0.00001180851,0.0001291173,0.9982299,0.000388762,0.00002348865,0.00001027867,0.0002534399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4033675,0.0003831759,0.5958771,0.000003885452,0.00003041814,0.000257802,0.0000174846,0.00005842362,0.000004231789],"genre_scores_gemma":[0.9970837,0.00005307301,0.002700467,0.00000908606,0.00001898785,0.00005717733,0.00002626781,0.00004878359,0.000002404186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5937163,"threshold_uncertainty_score":0.894876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00423948655738841,"score_gpt":0.1695529647910333,"score_spread":0.1653134782336449,"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."}}