{"id":"W4323572182","doi":"10.32920/22227775","title":"Privacy Law in the United States, the EU and Canada: The Allure of the Middle Ground","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":26,"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; Autonomy; European union; Data Protection Act 1998; Government (linguistics); Privacy policy; Political science; Business; Right to privacy; Law; Public administration; International trade","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":[0.004945733,0.0003609969,0.0006017909,0.002253082,0.02029656,0.02325027,0.001724918,0.005889502,0.003512378],"category_scores_gemma":[0.01108919,0.0004236272,0.0006162173,0.0054626,0.03555412,0.008967689,0.005336018,0.008310888,0.0002925255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1067387,"about_ca_system_score_gemma":0.1722497,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9706152,"about_ca_topic_score_gemma":0.954616,"domain_scores_codex":[0.9891219,0.002163818,0.0002756255,0.001083062,0.004288194,0.00306735],"domain_scores_gemma":[0.9945695,0.002121474,0.0003169812,0.0003582509,0.001687444,0.0009462425],"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":[0.000005477236,0.000004665373,0.000457934,0.000007814147,0.000003289501,0.0000343831,0.001851643,0.0001364962,0.00002427292,0.9887685,0.004268284,0.004437215],"study_design_scores_gemma":[0.00003377764,0.00001594089,0.007125665,0.000603719,0.00004106105,0.0001139115,0.0193106,0.002095793,0.0003374739,0.7284604,0.2417628,0.00009876165],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07022124,0.01981455,0.008684468,0.2750704,0.0006545797,0.00007503534,0.0005227604,0.00008320258,0.6248738],"genre_scores_gemma":[0.9385259,0.008486554,0.004079358,0.02422885,0.0001874966,0.00006376373,0.0002120281,0.00005539229,0.02416067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1067387,"threshold_uncertainty_score":0.7744471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08077166312086743,"score_gpt":0.2914132318705805,"score_spread":0.2106415687497131,"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."}}