{"id":"W4411162925","doi":"10.1016/j.enganabound.2025.106327","title":"Development and application of 3D thermo-poroelastic fictitious stress boundary element method","year":2025,"lang":"en","type":"article","venue":"Engineering Analysis with Boundary Elements","topic":"Numerical methods in engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geomechanica (Canada)","funders":"U.S. Department of Energy","keywords":"Poromechanics; Boundary element method; Stress (linguistics); Element (criminal law); Finite element method; Mathematical analysis; Mathematics; Mechanics; Calculus (dental); Geometry; Classical mechanics; Materials science; Physics; Porous medium; Philosophy; Porosity; Medicine; Composite material; Orthodontics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004429325,0.0004728521,0.0007030084,0.0006632434,0.0004337745,0.0008378365,0.001732889,0.001513954,0.004424816],"category_scores_gemma":[0.001054177,0.0005270264,0.0006056568,0.0004330039,0.0005107847,0.0007655133,0.001053725,0.0008716215,0.001939841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003057708,"about_ca_system_score_gemma":0.0007980278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001394528,"about_ca_topic_score_gemma":0.001397081,"domain_scores_codex":[0.9995834,0.0000633955,0.0000207329,0.00004876762,0.000258866,0.00002488435],"domain_scores_gemma":[0.9996294,0.0001014579,0.00002673574,0.00004823364,0.0001702783,0.00002389187],"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":[0.00006953198,0.0001336633,0.001495847,0.0004095976,0.00004446225,0.0002318591,0.0004398527,0.6816281,0.07733835,0.05922798,0.002976286,0.1760045],"study_design_scores_gemma":[0.000007544252,0.00002332477,0.0001702932,0.00002353063,0.000005623922,0.00009384421,0.00002202584,0.9791881,0.007890159,0.002645873,0.009913768,0.00001576071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004038125,0.00008765252,0.9905592,0.00004648354,0.00004887609,0.00004317222,0.00005664591,0.0004433492,0.004676478],"genre_scores_gemma":[0.1623459,0.0003863663,0.8286585,0.0001497979,0.00003785547,0.0003753103,0.0003472937,0.0005185367,0.00718049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004424816,"threshold_uncertainty_score":0.01480246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004290655613207475,"score_gpt":0.2469628798182452,"score_spread":0.2426722242050377,"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."}}