{"id":"W3010920414","doi":"","title":"Whose Law Governs Your Data?: Takedown Orders and 'Territoriality' in Comparative Perspective","year":2019,"lang":"en","type":"article","venue":"","topic":"Conflict of Laws and Jurisdiction","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Jurisdiction; Political science; Territoriality; European union; Order (exchange); Law; International law; Comity; Law and economics; Business; Sociology; International trade","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007043013,0.0003434504,0.0006943171,0.003059441,0.01637244,0.02232852,0.001706246,0.005111379,0.004693921],"category_scores_gemma":[0.009057742,0.0003741398,0.0005181925,0.004758038,0.07418095,0.02007317,0.008084659,0.006601206,0.0004379698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01559743,"about_ca_system_score_gemma":0.005812237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03696839,"about_ca_topic_score_gemma":0.0357161,"domain_scores_codex":[0.9898676,0.00632617,0.0002362461,0.00088554,0.001379853,0.001304565],"domain_scores_gemma":[0.9930784,0.00503468,0.0004545321,0.000428983,0.0006735626,0.0003298103],"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":[0.000003457353,0.00000367981,0.0002270837,0.00002795201,0.000002547727,0.000110007,0.03783271,0.00003521801,0.00004637088,0.9590667,0.000913481,0.001730829],"study_design_scores_gemma":[0.00001264589,0.00004050526,0.003895977,0.0009792892,0.0000350901,0.0006492978,0.2431577,0.0003567195,0.0004146405,0.2830366,0.4673809,0.00004067577],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07118068,0.02343709,0.009123613,0.03407807,0.0003886396,0.00003581421,0.00006020772,0.00002453309,0.8616713],"genre_scores_gemma":[0.9751071,0.006376517,0.001144769,0.003499108,0.0002278665,0.00005665563,0.00004993052,0.00005172752,0.01348628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03696839,"threshold_uncertainty_score":0.1131678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1071333940126836,"score_gpt":0.4113434876144245,"score_spread":0.3042100936017409,"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."}}