{"id":"W2970985859","doi":"10.1177/1473779519891597","title":"Twisted into knots: Canada’s challenges in lawful access to encrypted communications","year":2020,"lang":"en","type":"article","venue":"Common Law World Review","topic":"European Criminal Justice and Data Protection","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"United States National Security Agency; Encryption; Agency (philosophy); Law enforcement; Government (linguistics); Law; National security; Political science; Internet privacy; Business; Computer security; Public relations; Sociology; Computer science","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":[0.0006137286,0.0001142403,0.0002956889,0.0000382576,0.0003487049,0.00008246436,0.001440303,0.0000238439,0.0001449616],"category_scores_gemma":[0.0003513922,0.0001131105,0.00003718877,0.0008276603,0.0001170914,0.0003078859,0.0004770718,0.0002651617,0.0001045515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001729224,"about_ca_system_score_gemma":0.0002640176,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5619429,"about_ca_topic_score_gemma":0.9965882,"domain_scores_codex":[0.9981083,0.0008274625,0.0003575422,0.0002384964,0.0002519889,0.0002162578],"domain_scores_gemma":[0.9987577,0.0001947249,0.00009796685,0.0006279298,0.00008350897,0.0002381248],"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":[0.000027913,0.0001219108,0.0003299601,0.005218436,0.00002453216,0.00004508253,0.007795935,0.000004769013,0.00002205644,0.5178507,0.08543573,0.383123],"study_design_scores_gemma":[0.0000581453,0.00001563909,0.0003782217,0.001851123,0.00003554137,3.122343e-7,0.0006850945,0.000006130686,0.000006373087,0.0001750003,0.9966498,0.0001386253],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0002000025,0.2290568,0.0000273354,0.5233567,0.0001482755,0.001214042,0.00001526458,0.0001129611,0.2458686],"genre_scores_gemma":[0.4799303,0.4528917,0.0005622828,0.06599627,0.0002071852,0.0001376613,0.00005912019,0.00002762188,0.0001878288],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9112141,"threshold_uncertainty_score":0.4612513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3087194379670787,"score_gpt":0.4195355465408895,"score_spread":0.1108161085738109,"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."}}