{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01672808,0.000353222,0.0006483028,0.00318385,0.0224431,0.02087063,0.003968874,0.007577725,0.004902769],"category_scores_gemma":[0.04762692,0.0006160896,0.0007706852,0.00521696,0.01794127,0.006705693,0.005542385,0.01310869,0.0004218609],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1493051,"about_ca_system_score_gemma":0.3721512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.989535,"about_ca_topic_score_gemma":0.992137,"domain_scores_codex":[0.9726455,0.004011676,0.0007797129,0.001892486,0.01489839,0.005772242],"domain_scores_gemma":[0.9452903,0.02222478,0.002258956,0.001830129,0.0231184,0.005277458],"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":[0.00006033069,0.00003727508,0.005276692,0.0005079292,0.00005810794,0.0009922523,0.01231238,0.001016679,0.0004158798,0.7365694,0.151417,0.09133593],"study_design_scores_gemma":[0.00005749823,0.00004283653,0.01072162,0.001961046,0.0001133735,0.0005589294,0.01921041,0.001277409,0.0008991174,0.08527642,0.8796564,0.0002249423],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03649462,0.04326368,0.00439941,0.7690986,0.001491615,0.0001250189,0.000537334,0.00009202262,0.1444977],"genre_scores_gemma":[0.7160867,0.04955806,0.00660386,0.1823926,0.0009889507,0.00009964477,0.0003661113,0.0001490633,0.04375501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1493051,"threshold_uncertainty_score":0.9866855,"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."}}