{"id":"W4327521475","doi":"10.17794/rgn.2023.1.11","title":"IMPROVED CONCEPTUAL DESIGN OF LILW REPOSITORY","year":2023,"lang":"en","type":"article","venue":"Rudarsko-geološko-naftni zbornik","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agency for Toxic Substances and Disease Registry; National Eye Institute; State Atomic Energy Corporation ROSATOM; International Atomic Energy Agency; The Ministry of Economic Affairs and Employment; Nuclear Waste Management Organization; Bundesministerium für Umwelt, Naturschutz, Bau und Reaktorsicherheit; U.S. Department of Health and Human Services; U.S. Department of Energy","keywords":"Radioactive waste; Conceptual design; Containment (computer programming); Waste management; Environmental science; Engineering; Civil engineering; Computer science; Mechanical engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002857447,0.0003224744,0.0005149902,0.0002079065,0.0001693938,0.00002694233,0.0002952377,0.0002016277,0.0000565519],"category_scores_gemma":[0.0001024976,0.0003156952,0.0001657651,0.0005428287,0.0003216661,0.0001717764,0.0001193385,0.0003187275,0.0002339898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008264351,"about_ca_system_score_gemma":0.00004737355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006066199,"about_ca_topic_score_gemma":0.000006576364,"domain_scores_codex":[0.9982752,0.00008894848,0.0004340433,0.0003454717,0.0002807485,0.0005755819],"domain_scores_gemma":[0.998888,0.0003361027,0.00008628464,0.0004724236,0.00008872397,0.0001284216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002694333,0.0002515231,0.003851738,0.0006189093,0.001697857,0.0003243354,0.008245315,0.06476083,0.7456403,0.001917995,0.1595444,0.01287742],"study_design_scores_gemma":[0.00611713,0.002009902,0.05811439,0.0005080074,0.0007346883,0.0002379826,0.009260473,0.3936451,0.3930594,0.00135962,0.1305519,0.004401292],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.927003,0.005302162,0.02118063,0.0005336722,0.00649587,0.001736088,0.0001994344,0.006741368,0.03080781],"genre_scores_gemma":[0.9962863,0.0003668678,0.001256269,0.0000386863,0.0002988397,0.0000401318,0.00001283194,0.00009529445,0.001604821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3525808,"threshold_uncertainty_score":0.9999295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0164488177289781,"score_gpt":0.207449398662304,"score_spread":0.1910005809333259,"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."}}