{"id":"W3041523547","doi":"10.7290/ijns060107","title":"Consideration of Administrative Monetary Penalties in Nuclear Safety and Security","year":2020,"lang":"en","type":"article","venue":"International Journal of Nuclear Security","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Sanctions; Legislation; Commission; Business; Control (management); Computer security; Risk analysis (engineering); Law and economics; Law; Economics; Finance; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001381873,0.0001055691,0.000264607,0.00009094003,0.00002900415,0.00003207889,0.0001430282,0.00005380965,0.0001057612],"category_scores_gemma":[0.0001045015,0.0001030173,0.00007247764,0.0000616454,0.000098485,0.0003304079,0.00005265416,0.0003122416,0.000004299279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005011098,"about_ca_system_score_gemma":0.00001634711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001970845,"about_ca_topic_score_gemma":0.00002917115,"domain_scores_codex":[0.9991077,0.00004465596,0.0004079946,0.00008558077,0.0002669168,0.00008722248],"domain_scores_gemma":[0.9995239,0.00007756252,0.0001379001,0.00004278165,0.0001434192,0.00007448596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.01437659,0.002139284,0.04967406,0.001799703,0.008393146,0.003144873,0.6906865,0.02198061,0.04825632,0.07119737,0.06733801,0.02101352],"study_design_scores_gemma":[0.01506428,0.00378024,0.3793902,0.001526945,0.0003485858,0.002118647,0.05359549,0.3500485,0.005620118,0.0269431,0.159281,0.002282937],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937252,0.0004170228,0.00002118412,0.002939483,0.0002694658,0.00005765131,0.00003616391,0.00002329893,0.002510476],"genre_scores_gemma":[0.9984117,0.0009535449,0.000262768,0.0002075306,0.0001460145,1.134652e-7,0.000001158604,0.00001637692,7.968401e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.637091,"threshold_uncertainty_score":0.4200926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000734748771493,"score_gpt":0.2536428688781023,"score_spread":0.2336355213903874,"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."}}