{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086978,0.00005628681,0.00007585727,0.00006183681,0.0004085504,0.00006131193,0.00004351217,0.00005395733,0.0002223793],"category_scores_gemma":[0.0001081265,0.00005267307,0.00002504897,0.0001133054,0.00004327788,0.0007004002,0.000003963865,0.0003592394,0.000004101934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00054909,"about_ca_system_score_gemma":0.004622486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2286677,"about_ca_topic_score_gemma":0.6885805,"domain_scores_codex":[0.998776,0.00009066147,0.0001995071,0.00005360592,0.0003653454,0.0005149413],"domain_scores_gemma":[0.9996338,0.00002110762,0.0001626938,0.00003288297,0.0000857615,0.00006376783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001236018,0.000008721728,0.0001862636,0.000004701439,0.00001937351,4.053087e-7,0.009759085,0.00007556554,0.0001631457,0.06443573,0.001335744,0.9238877],"study_design_scores_gemma":[0.004542657,0.0006682046,0.01029979,0.0003686142,0.00007189734,0.000543783,0.1196625,0.01063446,0.0003653772,0.2003704,0.6516809,0.0007913272],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9096205,0.001649741,0.01489592,0.01162881,0.0004131232,0.0005740427,0.000004079934,0.00005200542,0.06116174],"genre_scores_gemma":[0.9967642,0.0004600481,0.00004569217,0.000109304,0.0001788829,0.000001173258,0.000001315387,0.000002936781,0.002436457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9230964,"threshold_uncertainty_score":0.8200093,"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."}}