{"id":"W4312963373","doi":"10.18254/s207054760023515-3","title":"Canada&amp;apos;s Digital Charter becomes law","year":2022,"lang":"en","type":"article","venue":"Russia and America in the 21st Century","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Charter; Government (linguistics); Legislation; Digital economy; Privacy law; Data Protection Act 1998; Information privacy; FTC Fair Information Practice; Business; Privacy policy; Work (physics); Internet privacy; Law; Political science; Engineering; Computer science","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":[0.0001266833,0.00007508985,0.0001064214,0.00002065287,0.0006507877,0.0001157344,0.0002583262,0.00001460338,0.0003828123],"category_scores_gemma":[0.00001442764,0.00005230094,0.00002878456,0.000209718,0.0002197885,0.000112549,0.00007130294,0.0001588975,0.00001207635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007141578,"about_ca_system_score_gemma":0.0001641729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8168941,"about_ca_topic_score_gemma":0.3531855,"domain_scores_codex":[0.9990516,0.0001473829,0.00009853201,0.0001221608,0.0003028816,0.0002774985],"domain_scores_gemma":[0.9996776,0.0001019695,0.00003939109,0.0001088045,0.000004893969,0.00006736763],"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":[0.00003775894,0.0002256573,0.01049185,0.00001645764,0.00004204553,0.00005852673,0.2028892,0.000008255608,0.00002901241,0.6486871,0.07820921,0.05930495],"study_design_scores_gemma":[0.00006719785,0.00001536293,0.001758313,0.000002065852,0.000003072795,0.000002818761,0.02081109,9.94577e-7,8.733912e-7,0.0005048976,0.976749,0.00008429067],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2924068,0.001589168,2.792648e-7,0.07884876,0.0006169952,0.0002458936,0.0002016695,0.00003914782,0.6260512],"genre_scores_gemma":[0.9897252,0.0003185234,0.000005327149,0.007865394,0.0002081703,0.00001920349,0.00001417319,0.000005044151,0.001839017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8985398,"threshold_uncertainty_score":0.6586171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03770192659512591,"score_gpt":0.3128162999133336,"score_spread":0.2751143733182077,"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."}}