{"id":"W4400235014","doi":"10.11159/iccste24.005","title":"Challenges and Perspectives of Deep Geological Repositories for Nuclear Energy","year":2024,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Energy (signal processing); Earth science; Geology; Data science; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002290803,0.00008027439,0.00009983221,0.00004499273,0.00002498343,0.00002121773,0.00006665484,0.00003035537,0.000004444253],"category_scores_gemma":[0.00001053749,0.00005692647,0.00003534275,0.00002695634,0.00004425923,0.0001204796,0.000005730846,0.00005564807,2.356106e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009690384,"about_ca_system_score_gemma":0.000001447992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003903089,"about_ca_topic_score_gemma":0.00001021293,"domain_scores_codex":[0.9996495,4.569519e-7,0.0001046841,0.0001034245,0.00008678107,0.00005510748],"domain_scores_gemma":[0.9998499,0.00002660402,0.00001993477,0.00001661061,0.00007236705,0.00001453827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000026799,0.000003585,0.0001734561,0.0004317342,0.0001749048,3.099103e-7,0.00561009,0.000666715,0.0330424,0.9532873,0.000008667507,0.006574035],"study_design_scores_gemma":[0.0007073781,0.0003615447,0.3416657,0.001062508,0.0001866996,0.00005267389,0.01373491,0.5701728,0.03695493,0.03245699,0.001987146,0.0006566184],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950406,0.002143707,0.0001250769,0.0005746365,0.0003255839,0.00005811427,0.00001781491,0.00007719625,0.00163725],"genre_scores_gemma":[0.9984736,0.001204929,0.0002457433,0.000001888274,0.00004902914,0.000004285126,0.000001092954,0.000009628246,0.000009742796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9208303,"threshold_uncertainty_score":0.2321394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813168490562067,"score_gpt":0.2162324887852325,"score_spread":0.1981008038796118,"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."}}