{"id":"W7164939465","doi":"10.1080/17153379.2017.12557799","title":"Learning from a Disaster: Improving Nuclear Safety and Security after Fukushima. Stanford Security Studies.","year":2017,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Security engineering; National security; Information security; Nuclear power","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009372159,0.0003378572,0.0001268182,0.0003210335,0.003646191,0.00120414,0.0004280411,0.001192265,0.01155505],"category_scores_gemma":[0.002639769,0.0001580787,0.0001234497,0.0005635714,0.001135472,0.001423431,0.001428876,0.001856497,0.000843704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002025334,"about_ca_system_score_gemma":0.009588346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1274551,"about_ca_topic_score_gemma":0.3518994,"domain_scores_codex":[0.9997806,0.00006953661,0.00001002415,0.00001863094,0.00006131185,0.00005995031],"domain_scores_gemma":[0.9987813,0.0003258901,0.0000883227,0.00003413148,0.0002861101,0.0004842884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001019723,0.0004187722,0.0154874,0.0002635924,0.00001592909,0.0001910382,0.008046211,0.0004963134,0.0004876652,0.006105062,0.6823257,0.2860604],"study_design_scores_gemma":[0.00006213924,0.0003870947,0.1875271,0.0005836918,0.00007879933,0.000129374,0.03556756,0.0002600928,0.001358164,0.006424552,0.767583,0.00003833545],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1702552,0.04556347,0.0008926452,0.5431886,0.002998236,0.0001276219,0.002330394,0.0003375048,0.2343063],"genre_scores_gemma":[0.7765668,0.04182637,0.002393177,0.01527673,0.0007885073,0.0001725781,0.001139369,0.00007338809,0.1617631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1274551,"threshold_uncertainty_score":0.2534264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008765169555541375,"score_gpt":0.2213863612846591,"score_spread":0.2126211917291177,"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."}}