{"id":"W4392961647","doi":"10.1016/j.gete.2024.100552","title":"Modelling a gas injection experiment incorporating embedded fractures and heterogeneous material properties","year":2024,"lang":"en","type":"article","venue":"Geomechanics for Energy and the Environment","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Nuclear Safety Commission; Eidgenössisches Nuklearsicherheitsinspektorat; Agence Nationale pour la Gestion des Déchets Radioactifs; Korea Atomic Energy Research Institute; Japan Atomic Energy Agency; Nuclear Waste Management Organization; China Scholarship Council; U.S. Department of Energy","keywords":"Anisotropy; Porosity; Isotropy; Permeability (electromagnetism); Materials science; Mechanics; Material properties; Thermal diffusivity; Composite material; Thermodynamics; Physics","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":[0.0001964588,0.0001371549,0.0001159423,0.00001923989,0.0003125016,0.0001010531,0.00005280661,0.00004320831,0.00005779824],"category_scores_gemma":[0.00000170099,0.00008563551,0.00003611322,0.00002252584,0.00009620378,0.00009717586,0.0001877171,0.00003618848,0.00000429281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005487145,"about_ca_system_score_gemma":0.000001896369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001670321,"about_ca_topic_score_gemma":0.00001608745,"domain_scores_codex":[0.9992715,0.00003453021,0.0001477874,0.0002655261,0.0001333288,0.0001472897],"domain_scores_gemma":[0.9998106,0.00002499489,0.00003485829,0.00009650328,0.000001520466,0.00003147068],"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":[0.0006237008,0.0001143048,0.0000201187,0.0001001619,0.0003144392,0.0000124689,0.01129215,0.6688097,0.06899796,0.05390251,0.0001336655,0.1956789],"study_design_scores_gemma":[0.0006625091,0.0002158017,0.000002934911,0.00002867341,0.00006477117,0.00003379396,0.0006320006,0.872609,0.07487682,0.02968447,0.02092286,0.0002663728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5775126,0.001369382,0.4203835,0.0002183141,0.0002220525,0.0002129895,0.000005326303,0.00003431286,0.00004154505],"genre_scores_gemma":[0.998279,0.0002790427,0.0004099727,0.00009644646,0.00005470058,0.0002720532,0.000007457995,0.00001469051,0.0005866496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4207664,"threshold_uncertainty_score":0.3492115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065280304059227,"score_gpt":0.1935529470846733,"score_spread":0.182900144044081,"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."}}