{"id":"W4408148287","doi":"10.2139/ssrn.5163458","title":"Development of a Copper Electrodeposition Manufacturing Process for Used Nuclear Fuel Container Applications","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nuclear Waste Management Organization; University of Alberta; University of Toronto","funders":"","keywords":"Container (type theory); Copper; Process (computing); Metallurgy; Manufacturing engineering; Nuclear fuel; Manufacturing process; Business; Engineering; Materials science; Computer science; Nuclear engineering; Mechanical engineering; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001298957,0.0002777107,0.0004536913,0.0001361766,0.0003344603,0.0001663448,0.0005547769,0.0002081813,0.00007503262],"category_scores_gemma":[0.00001530202,0.0002366471,0.0001396082,0.00004592106,0.00004901792,0.0001172187,0.0001764133,0.0008341487,0.0000177728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007040228,"about_ca_system_score_gemma":0.003176925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002265444,"about_ca_topic_score_gemma":0.0001525198,"domain_scores_codex":[0.9973035,0.00006765714,0.0006843104,0.0003784314,0.0002779244,0.001288147],"domain_scores_gemma":[0.9989107,0.00002622147,0.0005274952,0.0002496836,0.0002298217,0.00005608169],"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":[0.0006620836,0.0001729926,0.0000075243,0.001708877,0.0002619397,4.588089e-7,0.002017975,0.0003652685,0.9659973,0.02274062,0.00006894595,0.005995972],"study_design_scores_gemma":[0.001068279,0.0002431992,0.00003910405,0.0004742043,0.0001934596,0.00006353534,0.001555152,0.00008594429,0.8390893,0.1416465,0.01493108,0.0006102338],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825655,0.001305275,0.01370195,0.0002865085,0.0003848614,0.001195719,0.00005757542,0.00008780657,0.0004147877],"genre_scores_gemma":[0.9949476,0.0004690123,0.003488863,0.00006182941,0.0002695276,0.0002488122,0.00003386785,0.00004586399,0.0004346431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1269081,"threshold_uncertainty_score":0.9650189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677681258883147,"score_gpt":0.2674609796352356,"score_spread":0.2506841670464041,"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."}}