{"id":"W4399026727","doi":"10.1016/j.net.2024.05.033","title":"A sensitivity study on the PDFs treating uncertainties in severe accidents for pressurized heavy water reactors","year":2024,"lang":"en","type":"article","venue":"Nuclear Engineering and Technology","topic":"Nuclear Engineering Thermal-Hydraulics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Atomic Energy Agency","keywords":"Blackout; Sensitivity (control systems); Nuclear engineering; Uncertainty analysis; Pressurized water reactor; Environmental science; Nuclear power plant; Probabilistic logic; Nuclear power; Probabilistic risk assessment; Engineering; Reliability engineering; Computer science; Power (physics); Nuclear physics; Simulation; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002893702,0.0002495679,0.0002526302,0.0003817316,0.00005266165,0.0000927274,0.000136689,0.0001790652,0.000009911865],"category_scores_gemma":[0.0000919358,0.0001842338,0.0000433116,0.0002704957,0.00002768718,0.00009144712,0.00007632279,0.0004669891,0.00002226425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000820019,"about_ca_system_score_gemma":0.00000351208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001968053,"about_ca_topic_score_gemma":0.00001362084,"domain_scores_codex":[0.9990429,0.00001719894,0.0001933377,0.0002663629,0.00009626097,0.0003838954],"domain_scores_gemma":[0.9994463,0.0001997603,0.000008304706,0.0002947847,0.0000162919,0.00003450294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001452541,0.0002691672,0.001257547,0.001175346,0.001058805,0.0004533342,0.01085,0.6633127,0.2792409,0.01319831,0.001793723,0.02724498],"study_design_scores_gemma":[0.0007526977,0.0002796655,0.002396866,0.0003221417,0.00005531327,0.00008091263,0.0009377596,0.9639491,0.006769516,0.00029553,0.02359352,0.0005669851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959761,0.0001405649,0.0002277857,0.0004934391,0.0003267646,0.0004548845,0.000005541229,0.002162997,0.0002119518],"genre_scores_gemma":[0.9994125,0.00001856412,0.0002511551,0.00001214111,0.00005297187,0.0000576306,0.000001904562,0.0001414608,0.00005169911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3006364,"threshold_uncertainty_score":0.7512838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007475652951065661,"score_gpt":0.202333740721953,"score_spread":0.1948580877708873,"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."}}