{"id":"W3117029661","doi":"10.1016/j.ijrmms.2020.104542","title":"Numerical study of thermo-hydro-mechanical responses of in situ heating test with phase-field model","year":2020,"lang":"en","type":"article","venue":"International Journal of Rock Mechanics and Mining Sciences","topic":"Numerical methods in engineering","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Nuclear Safety Commission; Eidgenössisches Nuklearsicherheitsinspektorat; Agence Nationale pour la Gestion des Déchets Radioactifs; Institut de Radioprotection et de SÛreté Nucléaire; Korea Atomic Energy Research Institute; Japan Atomic Energy Agency; Nuclear Waste Management Organization; U.S. Department of Energy","keywords":"Borehole; Geotechnical engineering; Pore water pressure; Radioactive waste; Geology; Anisotropy; Geomechanics; Permeability (electromagnetism); Thermal conductivity; Shear (geology); Materials science; Petrology; Composite material; Engineering; Waste management; Chemistry","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":[0.000476099,0.00009312757,0.0002571947,0.0001588925,0.0000193732,0.00001755324,0.0003298087,0.00002982884,0.000003715897],"category_scores_gemma":[0.0007443831,0.0000726831,0.0000307593,0.0002580897,0.00000787287,0.0001387157,0.00004840336,0.0001652143,5.949088e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001690122,"about_ca_system_score_gemma":0.00003852327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004783463,"about_ca_topic_score_gemma":0.000001363387,"domain_scores_codex":[0.9988377,0.00003030537,0.0004536881,0.0001109271,0.0004590007,0.0001083442],"domain_scores_gemma":[0.9990294,0.0005923986,0.0001666507,0.00004272816,0.0001033933,0.00006542682],"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":[0.0001019875,0.0001244194,0.0004957506,0.00001256869,0.00003689094,0.00001854392,0.001681726,0.9155341,0.07694767,0.000277885,0.000002766611,0.004765653],"study_design_scores_gemma":[0.000706565,0.002231999,0.00002932354,0.0001392229,0.00001134291,0.00003253956,0.001472636,0.9766224,0.01832744,0.0003468224,0.000003570572,0.00007613188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6546581,0.00006365903,0.345008,0.0000826683,0.00009375265,0.00003460023,0.000001339483,0.000007163961,0.00005077488],"genre_scores_gemma":[0.9573948,0.00001869519,0.04250548,0.00003225503,0.00003790169,0.000001227318,5.340016e-8,0.000008745926,8.510247e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3027367,"threshold_uncertainty_score":0.2963931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0395778565849968,"score_gpt":0.3251154520579378,"score_spread":0.285537595472941,"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."}}