{"id":"W4400993127","doi":"10.69554/cmpu4295","title":"FBI v. Apple and beyond: Encryption in the Canadian Law of Digital Search and Seizure","year":2016,"lang":"en","type":"article","venue":"Journal of data protection & privacy.","topic":"Freedom of Expression and Defamation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Encryption; Search and seizure; Law; Political science; Computer science; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001535246,0.000041352,0.00008067473,0.0001178036,0.0002177387,0.0001329421,0.0002780624,0.00006182193,0.00002894882],"category_scores_gemma":[0.0003416322,0.00002359845,0.00001258776,0.0001310597,0.000188272,0.001309641,0.0000627937,0.0001307535,0.000001967377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005353571,"about_ca_system_score_gemma":0.0001799833,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04359039,"about_ca_topic_score_gemma":0.1074213,"domain_scores_codex":[0.9991236,0.0001494882,0.000201383,0.00008506024,0.0003357893,0.0001047155],"domain_scores_gemma":[0.9994643,0.00007121277,0.0001220434,0.0001568639,0.00009547353,0.00009011368],"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":[0.0004791992,0.0002677051,0.01629161,0.0001229056,0.0000767483,0.00004298016,0.05688503,0.00001222411,0.02126331,0.1971333,0.02339795,0.6840271],"study_design_scores_gemma":[0.003580142,0.0007170939,0.02848634,0.0004941402,0.00004084512,0.0002679932,0.02319582,0.0003652789,0.001292881,0.05460601,0.8865692,0.0003842324],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8856236,0.0006520949,0.009403973,0.08390536,0.0004251373,0.001520763,0.0002964484,0.00002150466,0.01815115],"genre_scores_gemma":[0.9992639,0.000106351,0.0004023961,0.00007154063,0.0001094369,0.00000195466,0.000003459799,0.000002495123,0.00003851168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8631713,"threshold_uncertainty_score":0.9627784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08377049828834868,"score_gpt":0.3303952252347626,"score_spread":0.2466247269464139,"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."}}