{"id":"W2538886750","doi":"10.1115/icone24-60700","title":"Regulatory Actions That Hinder Development of Effective Risk Reduction Measures by the Nuclear Industry for Enhanced Severe Accident Prevention and Mitigation Measures After Fukushima","year":2016,"lang":"en","type":"article","venue":"","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nuclear power; Business; Government (linguistics); License; Commission; Fukushima Nuclear Accident; Accident (philosophy); Status quo; Corporate governance; Nuclear power plant; Risk analysis (engineering); Computer security; Political science; Finance; Law; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03264657,0.00087158,0.00048925,0.001781676,0.007783523,0.007852132,0.003031822,0.009466857,0.006308793],"category_scores_gemma":[0.03776245,0.0007083531,0.001217505,0.001152604,0.005879298,0.002612085,0.003380755,0.0108159,0.001513786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02500774,"about_ca_system_score_gemma":0.09272031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3147508,"about_ca_topic_score_gemma":0.3084312,"domain_scores_codex":[0.9605365,0.008480956,0.002032534,0.003037393,0.01858957,0.007323065],"domain_scores_gemma":[0.9492821,0.01593824,0.004777793,0.002768933,0.02428839,0.002944647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004662268,0.0004657593,0.01496539,0.002032695,0.0002173945,0.004149144,0.02553421,0.005971984,0.03776557,0.210598,0.4417467,0.2560869],"study_design_scores_gemma":[0.00004840318,0.0002769951,0.02177352,0.0008270115,0.0001355616,0.0005380096,0.007187801,0.001045984,0.01077922,0.007621022,0.949496,0.0002703441],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1209345,0.02642867,0.02966898,0.3916916,0.01022126,0.002006222,0.0008198019,0.002698629,0.4155304],"genre_scores_gemma":[0.6802307,0.008817722,0.02111274,0.1094925,0.001262821,0.0006611782,0.0005894272,0.0003184183,0.1775145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3147508,"threshold_uncertainty_score":0.6258374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237513911060028,"score_gpt":0.2275954913604178,"score_spread":0.2152203522498175,"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."}}