{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001623785,0.0000648227,0.00006392859,0.00002003303,0.0009829055,0.0001009721,0.001060022,0.00003976845,0.00002905744],"category_scores_gemma":[0.000374926,0.00002450178,0.00002091156,0.000810355,0.0004411517,0.0001092388,0.0003144469,0.0002005252,0.000002494779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005102687,"about_ca_system_score_gemma":0.0002224761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9849271,"about_ca_topic_score_gemma":0.993133,"domain_scores_codex":[0.9985615,0.0005998102,0.0001272723,0.0001105953,0.0003935735,0.0002072498],"domain_scores_gemma":[0.9989514,0.0005006076,0.00005617244,0.0004287673,0.00003969858,0.00002330069],"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":[0.00001964827,0.00005061803,0.003540244,0.00002801078,0.00003646851,0.000004297485,0.1288667,0.00004113196,0.00002833319,0.7553508,0.1111337,0.0008999189],"study_design_scores_gemma":[0.0001387901,0.00001222951,0.03492643,0.00001112926,0.00001059474,0.000001175875,0.07143626,0.0002669519,0.00002700547,0.02643419,0.8666692,0.00006608169],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8198732,0.000148337,0.00001162835,0.1685751,0.0002553756,0.0007472865,0.00004019492,0.00003464747,0.01031423],"genre_scores_gemma":[0.9956755,0.0002676645,0.00000443585,0.003451365,0.00007154181,0.0000204413,0.00001461792,0.000003942096,0.0004904803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7555354,"threshold_uncertainty_score":0.7559813,"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."}}