{"id":"W4386837246","doi":"10.3390/plasma6030041","title":"Study of Atmospheric Plasma-Based Mass Separation System for High-Level Radioactive Waste Treatment","year":2023,"lang":"en","type":"article","venue":"Plasma","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Multiphysics; Radioactive waste; Atmospheric pressure; Fission products; Nuclear engineering; Spent nuclear fuel; Plasma; Chemistry; Materials science; Waste management; Nuclear physics; Physics; Nuclear chemistry; Engineering; Thermodynamics; Meteorology; Finite element method","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":[0.0002411335,0.0001904869,0.0002912831,0.000157068,0.0003816259,0.000412817,0.0004807094,0.0003639922,0.0009578377],"category_scores_gemma":[0.0002517466,0.0001122343,0.0003202225,0.0002046356,0.0002218354,0.0004374816,0.0002432507,0.000266075,0.0003259208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005246356,"about_ca_system_score_gemma":0.0004056345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009644263,"about_ca_topic_score_gemma":0.0007110348,"domain_scores_codex":[0.9997701,0.00002887757,0.000006869945,0.00003504275,0.000134263,0.00002471609],"domain_scores_gemma":[0.9999129,0.00001891642,0.00001399889,0.00001196464,0.0000343212,0.000007990581],"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":[0.0002435931,0.0001057182,0.001784392,0.0004266179,0.00003702325,0.0002725793,0.0002263081,0.02989248,0.9260278,0.004304636,0.001021094,0.0356578],"study_design_scores_gemma":[0.00004107269,0.0008555016,0.003974961,0.00001928105,0.00004400056,0.0003493197,0.0001149472,0.2916228,0.6880692,0.0008068102,0.01407278,0.00002937316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8651932,0.002724559,0.1199258,0.0005169204,0.0001500616,0.0001157295,0.0001396952,0.0008634188,0.01037055],"genre_scores_gemma":[0.981912,0.0005663498,0.01445558,0.0000416714,0.00002017458,0.00003108775,0.00006927178,0.00003078129,0.002873105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009644263,"threshold_uncertainty_score":0.003806531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03003995173856878,"score_gpt":0.2552446830985899,"score_spread":0.2252047313600212,"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."}}