{"id":"W2355805662","doi":"","title":"The Legal System of Personal Information Protection of Canada and Reference for China","year":2008,"lang":"en","type":"article","venue":"Journal of Shaoguan University","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislature; China; Scope (computer science); Personally identifiable information; Data Protection Act 1998; Political science; Information privacy law; Information system; Business; Law; Internet privacy; Privacy by Design; Computer science","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":[0.003928244,0.0004240426,0.000471494,0.003524431,0.01388767,0.006254934,0.001861558,0.002865644,0.005677973],"category_scores_gemma":[0.007503685,0.0004479581,0.0005598768,0.006281822,0.005243824,0.00184813,0.002557917,0.003358216,0.0005673581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07163267,"about_ca_system_score_gemma":0.2840903,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9734171,"about_ca_topic_score_gemma":0.9617001,"domain_scores_codex":[0.99068,0.0005793676,0.000505126,0.0009814146,0.005409824,0.001844206],"domain_scores_gemma":[0.9941459,0.000511704,0.0002835284,0.0004042126,0.003981058,0.0006736571],"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":[0.00002352126,0.00001752636,0.003662547,0.0001095518,0.00001280431,0.0004340757,0.004217874,0.0004132321,0.0005362116,0.91131,0.0504683,0.02879441],"study_design_scores_gemma":[0.00004580865,0.00002491975,0.02403347,0.0004393495,0.00007658296,0.0004090527,0.002057194,0.001952067,0.001013887,0.04246555,0.9273171,0.0001649345],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0965521,0.0164151,0.01269903,0.05685703,0.001343614,0.0009342001,0.004681501,0.0005391479,0.8099782],"genre_scores_gemma":[0.647049,0.01045076,0.02985014,0.01267535,0.0003886303,0.0006491497,0.002976054,0.000105181,0.2958558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07163267,"threshold_uncertainty_score":0.5197338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989476555712052,"score_gpt":0.213977384737671,"score_spread":0.1940826191805505,"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."}}