{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0197111,0.0002634899,0.0005189343,0.004720578,0.01452139,0.01430903,0.002452518,0.003655334,0.003025449],"category_scores_gemma":[0.03712511,0.0005663232,0.0006981525,0.007633749,0.02393614,0.005251159,0.004951574,0.006854137,0.0003666123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07882036,"about_ca_system_score_gemma":0.1185542,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9457533,"about_ca_topic_score_gemma":0.944626,"domain_scores_codex":[0.9476231,0.009639642,0.002042538,0.002805835,0.02953027,0.008358549],"domain_scores_gemma":[0.9699628,0.01012344,0.001609345,0.00234166,0.01378241,0.002180328],"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":[0.00002623487,0.00001644659,0.002804207,0.0001172596,0.0000100855,0.0001770399,0.03232805,0.0001705376,0.0003400892,0.928534,0.01542063,0.02005546],"study_design_scores_gemma":[0.00002100033,0.00004319615,0.04699109,0.001452474,0.0000966226,0.000400241,0.04347089,0.0008491926,0.00129616,0.06315947,0.8420151,0.0002045337],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1045116,0.009891081,0.006353204,0.1228846,0.0005660408,0.0001947394,0.0007484198,0.00008526384,0.7547651],"genre_scores_gemma":[0.901014,0.008336617,0.006538333,0.03484265,0.0001930118,0.0001473258,0.0003794112,0.00006359031,0.04848503],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07882036,"threshold_uncertainty_score":0.5718844,"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."}}