{"id":"W4407836852","doi":"10.1016/j.gete.2025.100653","title":"Numerical investigation of THM behavior in anisotropic poroelastic media: from element test to geological disposal applications","year":2025,"lang":"en","type":"article","venue":"Geomechanics for Energy and the Environment","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Weather Service; Horizon 2020; Horizon 2020 Framework Programme; Chinese Academy of Sciences; National Natural Science Foundation of China; Nuclear Waste Management Organization; U.S. Department of Energy; Canadian Nuclear Safety Commission; Baltimore Gas and Electric Company","keywords":"Poromechanics; Geotechnical engineering; Anisotropy; Materials science; Geology; Porous medium; Petroleum engineering; Environmental science; Porosity","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009927119,0.0001055008,0.0001615857,0.00005182033,0.00005344287,0.000006301413,0.0001044128,0.00006487122,0.00001100484],"category_scores_gemma":[0.00001469082,0.00008315952,0.00003529169,0.00007059224,0.0000138007,0.00001757769,0.00007064195,0.0000568418,0.000001117249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000467701,"about_ca_system_score_gemma":0.000006915524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003995829,"about_ca_topic_score_gemma":0.00003042478,"domain_scores_codex":[0.999346,0.00001294133,0.0002404219,0.000167496,0.00008586076,0.0001473472],"domain_scores_gemma":[0.9995728,0.000190787,0.00002734093,0.0001569764,0.000005001749,0.0000470545],"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":[0.00005864311,0.0001478021,0.0005454205,0.00003408507,0.00006277497,0.00000102039,0.000273172,0.5011444,0.01908415,0.4593049,0.00003172856,0.01931187],"study_design_scores_gemma":[0.001522014,0.0001205486,0.001136773,0.0000296381,0.0001094188,6.034205e-7,0.00009567122,0.8139778,0.01635506,0.1633793,0.003064849,0.0002082807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1284924,0.0003144068,0.8705445,0.0001709186,0.00008774415,0.0003264966,0.00003267271,0.00001820123,0.00001266058],"genre_scores_gemma":[0.9962285,0.0003703613,0.002277919,0.00008622829,0.0000256257,0.0009355455,0.00005326535,0.000009945457,0.00001258356],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8682666,"threshold_uncertainty_score":0.3391147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005733019720889542,"score_gpt":0.1836885608674552,"score_spread":0.1779555411465657,"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."}}