{"id":"W2898733494","doi":"10.1145/3267305.3274149","title":"GLOBAL Privacy Protection","year":2018,"lang":"en","type":"article","venue":"","topic":"European Criminal Justice and Data Protection","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Jurisdiction; Data Protection Act 1998; Business; Personal jurisdiction; Information privacy; General Data Protection Regulation; Computer security; Computer science; Law; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01748693,0.0008431889,0.0009988748,0.00215096,0.003444383,0.009863808,0.002372846,0.00666925,0.04233642],"category_scores_gemma":[0.03903179,0.0007264374,0.001462914,0.003535517,0.005354594,0.00714214,0.009410758,0.006131425,0.01717392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00223898,"about_ca_system_score_gemma":0.007322696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002344478,"about_ca_topic_score_gemma":0.001600278,"domain_scores_codex":[0.9807963,0.007567306,0.001215666,0.003069478,0.005253252,0.002097995],"domain_scores_gemma":[0.9631169,0.009747137,0.001528167,0.01990093,0.004748018,0.0009587231],"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":[0.00007405951,0.00004725618,0.00226508,0.0003109119,0.00005082232,0.0004213963,0.003663702,0.0008712236,0.001680286,0.7610281,0.09809621,0.131491],"study_design_scores_gemma":[0.00002410265,0.0000544481,0.001677875,0.000508616,0.00003795732,0.000928785,0.0009440764,0.0007687927,0.002088212,0.1408586,0.8520752,0.00003327501],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008766073,0.002887256,0.07967695,0.03337176,0.001179889,0.0004940872,0.003978381,0.001159353,0.8684863],"genre_scores_gemma":[0.5195707,0.007510635,0.07011704,0.05707447,0.002007013,0.001860657,0.009272256,0.001272,0.3313152],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04233642,"threshold_uncertainty_score":0.1416295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07318161190812557,"score_gpt":0.3558957966258776,"score_spread":0.2827141847177521,"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."}}