{"id":"W4395675113","doi":"10.3390/min14050453","title":"Coupled Processes at Micro- and Macroscopic Levels for Long-Term Performance Assessment Studies of Nuclear Waste Repositories","year":2024,"lang":"en","type":"article","venue":"Minerals","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eidgenössisches Nuklearsicherheitsinspektorat; Korea Atomic Energy Research Institute; Japan Atomic Energy Agency; Nuclear Waste Management Organization; Canadian Nuclear Safety Commission; U.S. Department of Energy","keywords":"Microscale chemistry; Radioactive waste; Thermal; Dilatant; Scale (ratio); Temporal scales; Term (time); Materials science; Environmental science; Mechanics; Computer science; Meteorology; Physics; Engineering; Composite material; Waste management","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":[0.00005775005,0.00012932,0.0002084835,0.00004079133,0.00006531642,0.00005338087,0.00005260422,0.00004606254,0.000007259895],"category_scores_gemma":[0.00001516089,0.0001034837,0.00002507487,0.0001082699,0.00004648307,0.0001280407,0.00003182158,0.00005495406,0.000001698053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000443209,"about_ca_system_score_gemma":0.00001635687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001524311,"about_ca_topic_score_gemma":0.000008143589,"domain_scores_codex":[0.9994337,0.000003972975,0.0001929889,0.0001440727,0.00007467229,0.0001505875],"domain_scores_gemma":[0.9997067,0.0000742456,0.00002047261,0.00009247786,0.00008092562,0.00002521446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001835853,0.00001281047,0.005267015,0.01035794,0.0002787806,0.00001031206,0.001429342,0.0007530404,0.9776673,0.00003380741,0.003221914,0.0009493381],"study_design_scores_gemma":[0.000730095,0.00029414,0.0113533,0.001830955,0.000166832,0.00004408928,0.0003302893,0.03105926,0.9505386,0.00003302665,0.003168621,0.0004508389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875258,0.01128403,0.0000360025,0.00005902108,0.0006192187,0.0001654927,0.00002354946,0.000128544,0.0001583304],"genre_scores_gemma":[0.9961889,0.0009725106,0.0006777985,0.0000113926,0.0001506404,0.00003771398,0.000007952275,0.00002928908,0.001923802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03030622,"threshold_uncertainty_score":0.4219943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02598902343512635,"score_gpt":0.2888117683795546,"score_spread":0.2628227449444283,"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."}}