{"id":"W4225562594","doi":"10.2139/ssrn.4063124","title":"It Shouldn't Be Small Potatoes: The Future of Civil Damage Awards Under Canada's Personal Information Protection Legislation","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Alberta","funders":"","keywords":"Legislation; Law; Business; Personally identifiable information; Data Protection Act 1998; Political science","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":[0.01890183,0.0004188424,0.0008866739,0.003567633,0.02236659,0.02792091,0.004095129,0.0171995,0.01993924],"category_scores_gemma":[0.05540377,0.0008716172,0.0008666154,0.003500169,0.01550815,0.008351047,0.004584584,0.01436766,0.001685969],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1471603,"about_ca_system_score_gemma":0.3890552,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9878191,"about_ca_topic_score_gemma":0.9962211,"domain_scores_codex":[0.9747084,0.002905719,0.000536526,0.001401985,0.009909267,0.01053809],"domain_scores_gemma":[0.9289282,0.01860162,0.002434365,0.001609287,0.02762219,0.02080435],"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":[0.0002585528,0.0001749895,0.02977091,0.0001956512,0.00005640943,0.0003374974,0.007015228,0.001166752,0.0003016681,0.485845,0.4038002,0.07107721],"study_design_scores_gemma":[0.0001939363,0.0001403933,0.07545353,0.001784056,0.0002280578,0.0002379214,0.0263505,0.003242113,0.0007629991,0.0843334,0.806794,0.0004791892],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05558626,0.007190393,0.0008216398,0.7429994,0.001436281,0.00008145874,0.001012975,0.00007023141,0.1908012],"genre_scores_gemma":[0.730315,0.007782778,0.001855371,0.1293228,0.001420887,0.00009704182,0.0004654139,0.0001152685,0.1286254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1471603,"threshold_uncertainty_score":0.9891731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01957235627340888,"score_gpt":0.2604508874145545,"score_spread":0.2408785311411456,"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."}}