{"id":"W4381686537","doi":"10.1016/j.ijrmms.2023.105435","title":"Calculation of thermal-hydraulic-mechanical response of a deep geological repository for radioactive used fuel in granite","year":2023,"lang":"en","type":"article","venue":"International Journal of Rock Mechanics and Mining Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nuclear Waste Management Organization","funders":"","keywords":"Radioactive waste; Geology; Thermal; Fracture (geology); Spent nuclear fuel; Geotechnical engineering; Scale (ratio); Thermal hydraulics; Nuclear engineering; Heat transfer; Engineering; Waste management; Mechanics","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":[0.0002476916,0.0005584916,0.0008133309,0.0005948711,0.0009104168,0.0009287861,0.001319783,0.002081282,0.002088917],"category_scores_gemma":[0.000640357,0.0005603429,0.0008557629,0.0007450124,0.0007968666,0.0006393717,0.0008296655,0.0006385582,0.000293877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001308993,"about_ca_system_score_gemma":0.00171269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02795315,"about_ca_topic_score_gemma":0.01637488,"domain_scores_codex":[0.9998597,0.00002670882,0.000009297747,0.00003208514,0.00003430998,0.00003783511],"domain_scores_gemma":[0.9996997,0.0001210077,0.00002896341,0.00003085569,0.00006698645,0.00005252144],"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":[0.0001371542,0.0000690295,0.006751389,0.00004492585,0.0000272665,0.0003904449,0.00004941735,0.9842336,0.005387127,0.0003717809,0.0001804043,0.002357412],"study_design_scores_gemma":[0.0000358968,0.00007727693,0.004250392,0.000006108717,0.00001942407,0.00004605975,0.0001182701,0.9932053,0.001766927,0.0002445701,0.0002110965,0.0000187711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795033,0.0001111453,0.01264332,0.0001857115,0.00003393832,0.00005492696,0.0004589814,0.0003017234,0.006706865],"genre_scores_gemma":[0.9975523,0.00003139599,0.001134658,0.000008330454,0.000002676177,0.00001485426,0.00007659498,0.0000152918,0.001163709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02795315,"threshold_uncertainty_score":0.05558091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02579022169132057,"score_gpt":0.2764195903358812,"score_spread":0.2506293686445606,"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."}}