{"id":"W4410199821","doi":"10.1080/00295450.2025.2472094","title":"Progress Toward Instrumented Nuclear Fuel Pellets Using Additive Manufacturing","year":2025,"lang":"en","type":"article","venue":"Nuclear Technology","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories; Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pellets; Nuclear fuel; Nuclear engineering; Environmental science; Nuclear fuel cycle; Pellet; Radiochemistry; Waste management; Materials science; Process engineering; Chemistry; Fuel cycle; Engineering; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002669846,0.001112275,0.0007435976,0.001492874,0.0003086222,0.002055935,0.001353551,0.0009570751,0.001635712],"category_scores_gemma":[0.001796577,0.0006327159,0.0008425135,0.001183455,0.0009364733,0.001490477,0.001121671,0.00154367,0.00128326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006255052,"about_ca_system_score_gemma":0.0007048331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003808222,"about_ca_topic_score_gemma":0.0006098438,"domain_scores_codex":[0.9983801,0.0002096166,0.0001188281,0.0002488066,0.0009687197,0.00007406392],"domain_scores_gemma":[0.9985889,0.0004582842,0.0002583296,0.0002286597,0.00039824,0.00006767029],"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":[0.0001985551,0.0005568973,0.001881741,0.002189973,0.0001076925,0.0005262741,0.0003672283,0.00779656,0.6592807,0.01973515,0.001256266,0.3061031],"study_design_scores_gemma":[0.00003451799,0.001395113,0.001877866,0.0002012149,0.0000855297,0.001002287,0.0001050944,0.01089038,0.9051917,0.001745034,0.07738768,0.00008356402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2083493,0.04362785,0.7291217,0.0005580826,0.0003699056,0.0004903894,0.0003181571,0.001661017,0.01550365],"genre_scores_gemma":[0.2000748,0.03763644,0.7554873,0.0001962869,0.0001266794,0.0002645719,0.0006040307,0.0002079607,0.005402048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002669846,"threshold_uncertainty_score":0.01411963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097383994887886,"score_gpt":0.227134431852462,"score_spread":0.2161605919035831,"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."}}