{"id":"W3015528530","doi":"10.17323/1996-7845-2020-02-07","title":"Filling Global Governance Gaps in Cybersecurity: International and European Legal Perspectives","year":2020,"lang":"en","type":"article","venue":"International Organisations Research Journal","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"Resilience (materials science); Realm; Political science; Lawmaking; European union; Legislature; Directive; Normative; Public administration; Corporate governance; Computer security; International trade; Business; Law; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001924925,0.0001160565,0.000131698,0.0001371282,0.0009589269,0.0007744265,0.0007206596,0.00005349505,0.001388931],"category_scores_gemma":[0.003479048,0.0001241974,0.00006603762,0.000507808,0.0005804978,0.0009367026,0.0003131423,0.0008153368,0.0001026658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009883191,"about_ca_system_score_gemma":0.0004154574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00146658,"about_ca_topic_score_gemma":0.003592631,"domain_scores_codex":[0.9968562,0.0006085617,0.0003334236,0.0003118677,0.00151249,0.0003774527],"domain_scores_gemma":[0.9985577,0.0002110413,0.000109959,0.00007250835,0.0007786716,0.0002700785],"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":[0.0001214946,0.0002499131,0.04116861,0.000006509078,0.0002324861,0.0004990658,0.2425622,0.00007103711,0.0002413375,0.6877897,0.01623376,0.01082386],"study_design_scores_gemma":[0.001183294,0.00007728472,0.06626209,0.0000982584,0.000009147876,0.0001082256,0.2319253,0.0003376662,0.00003104594,0.01221977,0.687455,0.0002929196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3369714,0.001423543,0.0004216833,0.3264251,0.001093077,0.0002576277,0.0001360646,0.00007734753,0.3331942],"genre_scores_gemma":[0.9934231,0.003540888,0.0004271615,0.0003965678,0.001792257,0.000003922499,0.000005897945,0.00001218798,0.0003980098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6755699,"threshold_uncertainty_score":0.9995239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04902826439509018,"score_gpt":0.3832596272091293,"score_spread":0.3342313628140391,"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."}}