{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007046996,0.0003379446,0.0003539477,0.0008173672,0.0001887733,0.00006291847,0.000656447,0.000548228,0.0002114645],"category_scores_gemma":[0.00006262695,0.0003603521,0.00009131235,0.0004242629,0.0004809684,0.0001169419,0.0005375015,0.0007869844,0.0001864333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002045804,"about_ca_system_score_gemma":0.00001351111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005662229,"about_ca_topic_score_gemma":0.000001308666,"domain_scores_codex":[0.9985461,0.00001810795,0.0002941088,0.0004335785,0.000121857,0.0005862551],"domain_scores_gemma":[0.9992775,0.00002638036,0.00006541586,0.0005497993,0.00004036056,0.00004052242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006668035,0.0001498141,0.0004601001,0.0005852786,0.0007350403,0.0001824896,0.0005549763,0.000466829,0.00697772,0.0708689,0.009138701,0.9098135],"study_design_scores_gemma":[0.001535247,0.0001954884,0.002734551,0.0006922319,0.0001365681,0.0001284103,0.003746715,0.02905656,0.3946159,0.03287131,0.5328441,0.001442834],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782257,0.0002261336,0.0007988727,0.001362949,0.0004742065,0.0002981218,0.00002962131,0.01031248,0.008271906],"genre_scores_gemma":[0.9918455,0.0001194758,0.007751107,0.00007815212,0.00003175156,0.00001460145,0.000006250835,0.00009160804,0.00006158607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9083706,"threshold_uncertainty_score":0.9998848,"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."}}