{"id":"W4323352446","doi":"10.32920/22227886","title":"It Shouldn't Be Small Potatoes: The Future of Civil Damage Awards Under Canada's Personal Information Protection Legislation. Part One: The Nature and Enforcement of the Privacy Interest under PIPEDA","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Legal Systems and Judicial Processes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Damages; Personally identifiable information; Legislation; Political science; Law; Legislature; Enforcement; Economic Justice; Privacy policy; Privacy laws of the United States; FTC Fair Information Practice; Business; Law and economics; Information privacy; Information privacy law; Sociology; Privacy by Design","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":[0.007260808,0.0003853541,0.0004038679,0.001712138,0.0173675,0.01876784,0.002514337,0.007453857,0.008445287],"category_scores_gemma":[0.01729539,0.000565318,0.0006333378,0.001697954,0.01494265,0.005497978,0.003955969,0.008035974,0.0007602618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1354175,"about_ca_system_score_gemma":0.2645207,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9806112,"about_ca_topic_score_gemma":0.9905297,"domain_scores_codex":[0.9861611,0.001164877,0.0001904604,0.0008612854,0.007904978,0.003717325],"domain_scores_gemma":[0.9837389,0.003114128,0.0005842347,0.0006328733,0.007458556,0.004471316],"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":[0.00007277886,0.00006747713,0.009400482,0.0001192778,0.00002071053,0.0003976603,0.004625652,0.001048129,0.000659409,0.7325217,0.1646843,0.0863824],"study_design_scores_gemma":[0.00005195442,0.00009274923,0.02755729,0.0006688033,0.00004636911,0.0002126952,0.009762138,0.002670027,0.0008939094,0.0889539,0.8688027,0.0002875135],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05217587,0.01995049,0.004487742,0.6417393,0.002263193,0.000137259,0.0005334074,0.0001377602,0.278575],"genre_scores_gemma":[0.6972637,0.01798437,0.005235957,0.08294328,0.0009742525,0.0001021769,0.0002894041,0.0001281773,0.1950787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1354175,"threshold_uncertainty_score":0.9825271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0583807773821568,"score_gpt":0.2904150173103474,"score_spread":0.2320342399281906,"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."}}