{"id":"W3123192805","doi":"","title":"When is personal data “about” or “relating to” an individual? A comparison of Australian, Canadian, and EU data protection and privacy laws","year":2018,"lang":"en","type":"article","venue":"Monash University Research Portal (Monash University)","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data Protection Act 1998; Legislature; Information privacy law; Personally identifiable information; Law; Political science; Information privacy; Data Protection Directive; Corporation; Privacy laws of the United States; European union; Privacy law; Economic Justice; European Union law; Business; Privacy policy","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002052607,0.0001884878,0.0002819927,0.001043289,0.002646314,0.0002052863,0.002853399,0.0002749299,0.0004435959],"category_scores_gemma":[0.000773771,0.0002262976,0.00002616015,0.001468504,0.001459159,0.003195811,0.004469078,0.0006222076,0.00001880231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002596663,"about_ca_system_score_gemma":0.001270443,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4274937,"about_ca_topic_score_gemma":0.6579291,"domain_scores_codex":[0.9963827,0.0007123391,0.0001897641,0.00102198,0.0009593192,0.0007338756],"domain_scores_gemma":[0.9971386,0.0001232532,0.0001408399,0.001135884,0.0004872992,0.00097411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002682301,0.001147148,0.2245174,0.0004428081,0.0007755853,0.001177547,0.27219,0.000002434794,0.001156016,0.02369504,0.3804068,0.09180687],"study_design_scores_gemma":[0.0007109323,0.0005119945,0.01949511,0.00007856404,0.00007128577,0.000007555792,0.06599699,0.001330601,0.00006027459,0.0002822439,0.9111238,0.0003306302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661895,0.00004591898,0.0002253496,0.009120507,0.0001367236,0.001819914,0.004110311,0.000114273,0.01823752],"genre_scores_gemma":[0.9893219,0.0001214529,0.001338772,0.0000586553,0.0001798372,4.06037e-7,0.0005112861,0.00001579072,0.008451889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.530717,"threshold_uncertainty_score":0.9986521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2992214182227149,"score_gpt":0.3953910083879998,"score_spread":0.09616959016528498,"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."}}