{"id":"W3093459804","doi":"","title":"A Fully-Coupled, Thermo-Hydro-Mechanical Modelling Logic for a GPU-Accelerated, Finite-Discrete Element Method Code","year":2020,"lang":"en","type":"article","venue":"54th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Finite element method; Code (set theory); Computer science; Computational science; Parallel computing; Programming language; Algorithm; Structural engineering; Engineering","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"],"consensus_categories":[],"category_scores_codex":[0.0006600292,0.001025557,0.00107999,0.0003496526,0.0006019301,0.0003066513,0.0009451495,0.000608678,0.0005273466],"category_scores_gemma":[0.0001355517,0.001082178,0.0006571876,0.0009782182,0.000005951224,0.0005359979,0.0003414174,0.0009493948,0.0002396035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004397638,"about_ca_system_score_gemma":0.0001362078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000362231,"about_ca_topic_score_gemma":0.00003312988,"domain_scores_codex":[0.9950346,0.0001262087,0.00148527,0.001305452,0.0006327853,0.001415691],"domain_scores_gemma":[0.9971426,0.0005027742,0.0002807813,0.0009155047,0.0004812703,0.0006771247],"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":[0.0001440105,0.00008974481,1.663273e-7,0.0001746646,0.0002594689,0.000009395209,0.0002806078,0.7982672,0.1144282,0.08571815,0.0004818901,0.0001465193],"study_design_scores_gemma":[0.001689479,0.0007012922,1.963092e-8,0.00008303474,0.0002684326,0.00002295592,0.0002881027,0.9546694,0.01094527,0.02161846,0.008556597,0.001156933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004450361,0.0002702484,0.9914184,0.001537103,0.00165827,0.001995367,0.0007568403,0.001397987,0.0005208137],"genre_scores_gemma":[0.9310425,0.0007071377,0.06342239,0.001875905,0.0006807584,0.0008936198,0.0006440881,0.0005060795,0.0002275577],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9305974,"threshold_uncertainty_score":0.9991629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03375205634031286,"score_gpt":0.2667679075871598,"score_spread":0.2330158512468469,"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."}}