{"id":"W4407744422","doi":"10.1080/00295639.2025.2455353","title":"CANDU Station Blackout D-PSA with RAVEN and TRACE Software","year":2025,"lang":"en","type":"article","venue":"Nuclear Science and Engineering","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories; McMaster University","funders":"CANDU Owners Group","keywords":"Blackout; TRACE (psycholinguistics); Nuclear engineering; Software; Computer science; Environmental science; Physics; Engineering; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007220478,0.00005058051,0.00007098456,0.00006796565,0.00007083521,0.00004094533,0.00002162721,0.00001387193,0.000004718545],"category_scores_gemma":[0.00002158995,0.00003720654,0.000005249234,0.0001849654,0.0000611503,0.00009355372,0.00001419439,0.00003896246,0.000001090001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007238064,"about_ca_system_score_gemma":0.00005986608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005198263,"about_ca_topic_score_gemma":0.000008370333,"domain_scores_codex":[0.9996067,9.803267e-7,0.00004082992,0.0001358064,0.0001116589,0.0001040463],"domain_scores_gemma":[0.9998156,0.00001240875,0.000007235429,0.00006582805,0.00003701794,0.00006194798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005738186,0.000509328,0.4462892,0.003164046,0.0005260307,0.0002880928,0.01613503,0.006682146,0.03382551,0.03532799,0.006490779,0.450188],"study_design_scores_gemma":[0.002166143,0.0004452189,0.9392191,0.0007799892,0.0001317125,0.00004689875,0.0006713713,0.02951059,0.001195006,0.00002251681,0.02561282,0.0001986446],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979128,0.000285504,0.0003155045,0.0007482161,0.00003947783,0.00009561951,0.000001221318,0.0000410088,0.0005606457],"genre_scores_gemma":[0.9962828,0.0001291841,0.00335306,0.0001292692,0.00001110337,0.000004262781,3.670173e-7,0.000004924616,0.00008499518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4929299,"threshold_uncertainty_score":0.1517239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004750863256002507,"score_gpt":0.2268791927451942,"score_spread":0.2221283294891917,"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."}}