{"id":"W6884304663","doi":"10.1016/j.nucengdes.2025.114322","title":"Regulating Artificial Intelligence for CANDU Software Qualifications","year":2025,"lang":"en","type":"article","venue":"Nuclear Engineering and Design","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Nuclear Safety Commission","keywords":"Software deployment; Software; Popularity; Nuclear power; Reliability (semiconductor); Software quality; Nuclear power plant; Order (exchange)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.05036716,0.0007821096,0.0006799819,0.00528183,0.005835596,0.01087288,0.003633783,0.002948954,0.003441585],"category_scores_gemma":[0.125537,0.0005654715,0.0009512837,0.003192509,0.01867011,0.006324162,0.005502157,0.00460665,0.0008156231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02924995,"about_ca_system_score_gemma":0.06366256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2298306,"about_ca_topic_score_gemma":0.2557258,"domain_scores_codex":[0.9144552,0.02159112,0.003724947,0.004898204,0.05157488,0.003755616],"domain_scores_gemma":[0.8385447,0.05936927,0.01102373,0.02500126,0.06368264,0.002378448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004380101,0.00005763292,0.005070171,0.0002298643,0.00002427403,0.0001453691,0.004846044,0.009393635,0.001988664,0.8338857,0.005486825,0.138828],"study_design_scores_gemma":[0.0000752063,0.0002240456,0.01345468,0.002175912,0.0001010832,0.0003435244,0.005012793,0.05642249,0.01211442,0.586801,0.3229752,0.0002995378],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06729944,0.002715023,0.6237153,0.0362676,0.0004489071,0.0006610486,0.000231236,0.001082613,0.2675788],"genre_scores_gemma":[0.7451018,0.00161011,0.2267155,0.004860434,0.0001877646,0.0004583293,0.0002717099,0.0003539533,0.02044044],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2298306,"threshold_uncertainty_score":0.4569856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1293628600725017,"score_gpt":0.3600604281988875,"score_spread":0.2306975681263858,"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."}}