{"id":"W4384834277","doi":"10.23919/cycon58705.2023.10181730","title":"Weaponizing Cross-Border Data Flows: An Opportunity for NATO?","year":2023,"lang":"en","type":"article","venue":"","topic":"European Criminal Justice and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"European union; Data Protection Act 1998; International trade; Free flow; Treaty; Deterrence theory; Data Protection Directive; Sovereignty; North Atlantic Treaty; Harm; General Data Protection Regulation; Political science; Computer security; Business; Law; European Union law; Computer science; Politics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009462913,0.0003777899,0.0003042516,0.0007131831,0.004964091,0.01186294,0.0015474,0.007651383,0.00801132],"category_scores_gemma":[0.01463098,0.0002620389,0.0005539783,0.001128126,0.006763297,0.016729,0.006645377,0.00827384,0.002224702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003635021,"about_ca_system_score_gemma":0.01523338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01907078,"about_ca_topic_score_gemma":0.03118439,"domain_scores_codex":[0.9959112,0.001449459,0.0001665351,0.0004125483,0.001174034,0.000886142],"domain_scores_gemma":[0.9935163,0.002524045,0.0006349413,0.000985597,0.001181392,0.001157721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000115634,0.00005906093,0.005727855,0.0001815482,0.00001963922,0.000613984,0.006070627,0.0003244254,0.001039952,0.7698725,0.1409835,0.07499109],"study_design_scores_gemma":[0.00001111171,0.00003886676,0.002331831,0.0008550387,0.00001360708,0.0002959582,0.006413665,0.0003233993,0.0006295836,0.06479767,0.9242419,0.00004734072],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01872022,0.01013666,0.005394115,0.8000624,0.006966372,0.00004738413,0.0003709533,0.0001026999,0.1581992],"genre_scores_gemma":[0.4303445,0.0236994,0.01616963,0.394127,0.003620884,0.0003028087,0.001023034,0.0002187098,0.1304941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01907078,"threshold_uncertainty_score":0.05004525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3177449011741911,"score_gpt":0.5304021563036756,"score_spread":0.2126572551294845,"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."}}