{"id":"W2924731061","doi":"10.1017/s1474745618000459","title":"Trade Commitments and Data Flows: The National Security Wildcard","year":2019,"lang":"en","type":"article","venue":"World Trade Review","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"International trade; National security; European union; Focus (optics); Political science; Business; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001398954,0.0001399661,0.0002741369,0.000040625,0.0003533488,0.00009945242,0.0008732697,0.00003508119,0.0009638185],"category_scores_gemma":[0.0001642377,0.0001058034,0.00005147402,0.0008693529,0.0001890792,0.0004050726,0.0001220982,0.000220362,0.000158764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007407859,"about_ca_system_score_gemma":0.000131972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000585058,"about_ca_topic_score_gemma":0.0006891967,"domain_scores_codex":[0.9979481,0.0004446383,0.0002958267,0.0003610549,0.000705609,0.0002447918],"domain_scores_gemma":[0.9990149,0.0002623471,0.0001132667,0.0004768349,0.00001971698,0.0001129951],"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":[0.000003127695,0.0001391024,0.006130251,0.00100358,0.0001237661,0.000002388539,0.001885821,0.000002254846,0.00001094708,0.7526397,0.2301802,0.007878891],"study_design_scores_gemma":[0.0001621809,0.000004125168,0.004259651,0.0005180704,0.00006088494,0.000003065,0.00005317839,0.00003649989,0.000001707964,0.0008130496,0.9939571,0.0001304669],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0008961899,0.1652826,0.000005557735,0.6616537,0.0007375844,0.003147246,0.0001984028,0.0002313437,0.1678474],"genre_scores_gemma":[0.9084866,0.07541344,0.0002402604,0.01411419,0.0003520025,0.00002175599,0.0001139184,0.00002801881,0.001229803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9075904,"threshold_uncertainty_score":0.9999495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05944689069359935,"score_gpt":0.3562055709195979,"score_spread":0.2967586802259986,"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."}}