{"id":"W4388091983","doi":"10.1093/oso/9780195372472.003.0002","title":"Approaches to Consent in Canadian Data Protection Law","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Statute; Law; Government (linguistics); Public sector; Political science; Data Protection Act 1998; Personally identifiable information; Private sector; Privacy law; Information privacy; Sociology; 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":[0.01382149,0.0009325521,0.0006538367,0.004341261,0.009902757,0.01277403,0.003391954,0.007258948,0.0144168],"category_scores_gemma":[0.01761971,0.0007177883,0.0007429403,0.006938721,0.02966782,0.007823887,0.00487728,0.009432626,0.0015031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08737879,"about_ca_system_score_gemma":0.0688271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7411907,"about_ca_topic_score_gemma":0.6761034,"domain_scores_codex":[0.985567,0.004754758,0.0005495666,0.001373818,0.006427491,0.001327363],"domain_scores_gemma":[0.9890419,0.00619963,0.0002330904,0.0009235103,0.003238034,0.0003637902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[9.481151e-7,0.000001462944,0.00001756063,0.00001936579,7.756709e-7,0.00002569745,0.0007980607,0.00008956632,0.000009849144,0.9868528,0.008102775,0.004081216],"study_design_scores_gemma":[0.000005956791,0.000003016616,0.0001685208,0.0003860022,0.000005613167,0.00007149495,0.0007091622,0.0005801624,0.00009307748,0.5169542,0.4810014,0.0000213058],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00190117,0.01859042,0.02712388,0.04584436,0.0008245909,0.0001526643,0.0002843373,0.0001242842,0.9051543],"genre_scores_gemma":[0.321904,0.04764721,0.05075952,0.03918517,0.001468078,0.0007891624,0.0007639587,0.000369159,0.5371138],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2588093,"threshold_uncertainty_score":0.6339804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.356752824501683,"score_gpt":0.3128789104911651,"score_spread":0.04387391401051793,"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."}}