{"id":"W2268851905","doi":"10.32920/22227775.v1","title":"Privacy Law in the United States, the EU and Canada: The Allure of the Middle Ground","year":2023,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Brandeis University","keywords":"Information privacy law; Personally identifiable information; Dignity; Jurisdiction; FTC Fair Information Practice; Information privacy; Privacy law; European union; Data Protection Act 1998; Autonomy; Privacy policy; Government (linguistics); Political science; Data Protection Directive; Business; Law; Public administration; International trade; European Union law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006697306,0.0003773063,0.0006051147,0.002553324,0.02409326,0.02574382,0.002238734,0.007204315,0.003149567],"category_scores_gemma":[0.01368813,0.0004636196,0.000707286,0.005376999,0.04198018,0.009643052,0.006342433,0.01034114,0.0002676609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1106706,"about_ca_system_score_gemma":0.2232378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9737284,"about_ca_topic_score_gemma":0.9657074,"domain_scores_codex":[0.9854389,0.002897218,0.0004306566,0.001419487,0.005784889,0.004028858],"domain_scores_gemma":[0.992247,0.002989255,0.0004223385,0.0004580893,0.002401194,0.001482066],"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":[0.000006427162,0.00000630529,0.0005470512,0.000009914856,0.000003773656,0.00004206766,0.00270705,0.0001264095,0.00003018716,0.9859722,0.005262614,0.005286008],"study_design_scores_gemma":[0.00004723837,0.00002632483,0.008881484,0.0009586324,0.00005761673,0.0001612933,0.03043204,0.002097647,0.0004240209,0.6273581,0.329403,0.0001525643],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06865722,0.02298304,0.008153474,0.3631752,0.0008978415,0.00008565984,0.0005103106,0.00009143809,0.5354459],"genre_scores_gemma":[0.9179108,0.009482259,0.004565376,0.04395353,0.0002246362,0.00008011643,0.0002069351,0.00005691957,0.02351934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1106706,"threshold_uncertainty_score":0.8029755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05330903283679604,"score_gpt":0.2755336280666544,"score_spread":0.2222245952298584,"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."}}