{"id":"W2263532909","doi":"","title":"Text and Context: Making Sense of Canada's New Personal Information Protection Legislation","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Freedom of Expression and Defamation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Legislation; Variety (cybernetics); Context (archaeology); Normative; Personally identifiable information; Generality; Privacy policy; Internet privacy; Information privacy law; Privacy law; Information privacy; Privacy by Design; Business; Data Protection Act 1998; Law; Political science; Computer science; Economics; Management","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":[0.01005215,0.0004914245,0.0006561643,0.004459099,0.03013249,0.0274922,0.003733793,0.006308868,0.006929451],"category_scores_gemma":[0.03322362,0.000671077,0.0004855877,0.006650954,0.0351622,0.0102825,0.008169347,0.008150665,0.0006773572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1242192,"about_ca_system_score_gemma":0.1664402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9578408,"about_ca_topic_score_gemma":0.9715692,"domain_scores_codex":[0.9830906,0.003839747,0.0006512969,0.001562475,0.007873308,0.002982659],"domain_scores_gemma":[0.9779772,0.01043573,0.001494046,0.001135727,0.0070948,0.001862471],"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":[0.00002728822,0.00001168933,0.001524167,0.0001101577,0.000006684715,0.0006767593,0.1052616,0.0002932761,0.0003276237,0.8161363,0.05207519,0.02354936],"study_design_scores_gemma":[0.00001989057,0.00001161053,0.005033185,0.0009294522,0.00003842686,0.0001549378,0.08221497,0.0006279171,0.000470229,0.1053339,0.8050796,0.00008586355],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04733275,0.007256633,0.006397925,0.2846854,0.001822546,0.0001229154,0.0007259806,0.0001901402,0.6514657],"genre_scores_gemma":[0.8739694,0.005333657,0.006443462,0.03395638,0.0006730188,0.00009972145,0.0004036424,0.0002294507,0.07889128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1242192,"threshold_uncertainty_score":0.9012776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009084635578661892,"score_gpt":0.2365013480001079,"score_spread":0.227416712421446,"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."}}