{"id":"W2273105983","doi":"","title":"Using Protection of Privacy Legislation to Erode Privacy: R. v. Chehil","year":2010,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Appeal; Warrant; Enforcement; Personally identifiable information; Law; Expectation of privacy; Privacy law; Information privacy; Privacy policy; Business; Government (linguistics); Legislation; Law enforcement; Internet privacy; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.006748284,0.0005864212,0.0006627953,0.001046941,0.01235965,0.009706336,0.003057331,0.02640392,0.005303092],"category_scores_gemma":[0.01345479,0.0009102811,0.001134756,0.0006393992,0.007814643,0.003280971,0.003755296,0.01993783,0.002220321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01330689,"about_ca_system_score_gemma":0.02032205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3056912,"about_ca_topic_score_gemma":0.4483337,"domain_scores_codex":[0.9888804,0.002058964,0.0003319889,0.001177912,0.002799306,0.004751553],"domain_scores_gemma":[0.9919314,0.004875312,0.000415339,0.0005451149,0.001486318,0.0007464905],"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":[0.0001927485,0.00009060091,0.003923547,0.0001370259,0.00005031862,0.003546376,0.00518867,0.0004588701,0.002078213,0.7167423,0.2529634,0.01462795],"study_design_scores_gemma":[0.0006305245,0.0005681196,0.02449716,0.001495628,0.0004744172,0.003132387,0.008605244,0.003411292,0.007813285,0.1028415,0.8459178,0.0006126101],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.08990845,0.004552708,0.004019436,0.2384336,0.002344892,0.0003207722,0.0004302841,0.0003831677,0.6596068],"genre_scores_gemma":[0.5124658,0.001442846,0.00213946,0.3485985,0.000685716,0.000363939,0.0001402155,0.0000866544,0.1340769],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3056912,"threshold_uncertainty_score":0.6078238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06529860378899911,"score_gpt":0.3373656057180108,"score_spread":0.2720670019290117,"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."}}