{"id":"W4406985765","doi":"10.1080/00295450.2024.2435786","title":"Applying Shapley Effect for Sensitivity Analysis During Reactor Transient","year":2025,"lang":"en","type":"article","venue":"Nuclear Technology","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Sensitivity (control systems); Transient (computer programming); Nuclear engineering; Transient analysis; Environmental science; Chemistry; Computer science; Steady state (chemistry); Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001001975,0.0001869058,0.0003596277,0.0006272615,0.0000766235,0.0000268512,0.0001254383,0.0001983763,0.00001204924],"category_scores_gemma":[0.00002561833,0.0002021821,0.0001746004,0.001142886,0.00003186797,0.00005974139,0.00003870215,0.0002480412,0.00001571942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001008351,"about_ca_system_score_gemma":0.000003706932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007813214,"about_ca_topic_score_gemma":0.000009184522,"domain_scores_codex":[0.999186,0.000008092146,0.0001626513,0.0002422433,0.00006585693,0.0003352035],"domain_scores_gemma":[0.9995378,0.00005654184,0.00001721118,0.0003282302,0.00002414545,0.00003609458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003228903,0.00002960319,0.0007628963,0.0003920313,0.001295251,0.00001425879,0.00007045235,0.0136937,0.9369994,0.01347052,0.0003185495,0.03292102],"study_design_scores_gemma":[0.001993862,0.0001558997,0.01424853,0.0001670798,0.001452623,0.0000176816,0.0001780886,0.6730937,0.09259925,0.0007503859,0.2141928,0.001150071],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854745,0.00007575622,0.00922204,0.00008721751,0.0002180719,0.000448926,0.00001728915,0.001949479,0.002506709],"genre_scores_gemma":[0.9990742,0.00001590111,0.0006902408,0.00001371467,0.00003168051,0.00008627971,0.000006890584,0.00006122222,0.00001984401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8444002,"threshold_uncertainty_score":0.8244746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002725843533152678,"score_gpt":0.1918030031874242,"score_spread":0.1890771596542715,"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."}}