{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01496739,0.0003801371,0.0003379815,0.001950841,0.006632053,0.008211032,0.00146041,0.002400168,0.0077759],"category_scores_gemma":[0.06602366,0.0003206344,0.0004291289,0.001955819,0.00685629,0.003530395,0.003967324,0.004115478,0.0005370001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01007817,"about_ca_system_score_gemma":0.02206635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0427584,"about_ca_topic_score_gemma":0.09178559,"domain_scores_codex":[0.9650082,0.01592518,0.002141445,0.0008335331,0.01281802,0.003273696],"domain_scores_gemma":[0.9443015,0.02725808,0.008537766,0.002613976,0.01262505,0.004663745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002839506,0.0006737807,0.1213376,0.0008495196,0.00008355278,0.001982649,0.02937846,0.006665333,0.002834568,0.5182373,0.03619902,0.2814742],"study_design_scores_gemma":[0.00007711084,0.001097642,0.3361023,0.002932891,0.0001386435,0.002218235,0.08679983,0.01009199,0.004804745,0.1110661,0.4441231,0.0005475063],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.452977,0.00424053,0.02267642,0.03995713,0.001531248,0.0009597665,0.0002476219,0.0001289503,0.4772813],"genre_scores_gemma":[0.9744066,0.0009777319,0.006220689,0.002559559,0.0001775045,0.0001670439,0.00005340264,0.00002850197,0.01540902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0427584,"threshold_uncertainty_score":0.08501905,"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."}}