{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001220677,0.0002088862,0.0002566638,0.00005243754,0.000786007,0.0002227841,0.0006742423,0.0004026942,0.0001654273],"category_scores_gemma":[0.0002146006,0.0001061051,0.0001128337,0.0003540254,0.0003541124,0.0002503355,0.0005242975,0.0009889746,6.810797e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002706207,"about_ca_system_score_gemma":0.002684071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8015929,"about_ca_topic_score_gemma":0.983307,"domain_scores_codex":[0.9977356,0.0002883406,0.0005379995,0.0002122706,0.0009893958,0.0002363972],"domain_scores_gemma":[0.9983022,0.0001583221,0.0006771302,0.0003489058,0.0004602678,0.00005313427],"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":[0.0001474985,0.0001304328,0.002788335,0.002443483,0.001060822,8.637054e-7,0.2584972,0.005931982,0.00004821238,0.6293175,0.09219389,0.007439853],"study_design_scores_gemma":[0.0003811295,0.00005892064,0.01484804,0.0007833785,0.0001811498,0.0000015292,0.2107216,0.0009055462,0.0001886084,0.01674675,0.7547422,0.0004411783],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1658148,0.001673745,0.004013227,0.6437214,0.01083472,0.01088781,0.0006083749,0.0002108772,0.162235],"genre_scores_gemma":[0.9953318,0.0002035251,0.000007372846,0.001646987,0.0006833564,0.00009479895,0.0000306844,0.00001235802,0.001989071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.829517,"threshold_uncertainty_score":0.6045409,"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."}}