{"id":"W3153394644","doi":"10.69554/cvje6605","title":"Data protection and privacy in Canada: A balanced approach","year":2021,"lang":"en","type":"article","venue":"Applied marketing analytics","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internet privacy; Computer security; Privacy protection; Data Protection Act 1998; Computer science; Information privacy; Business","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":[0.001650207,0.00006802344,0.0001302123,0.0000236608,0.0001942708,0.00006274545,0.000218668,0.00003967075,0.00001874395],"category_scores_gemma":[0.0009937919,0.00007422305,0.000008120197,0.0003444663,0.00005579807,0.00007224466,0.0001891492,0.000147779,9.912828e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002308357,"about_ca_system_score_gemma":0.001243021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6255797,"about_ca_topic_score_gemma":0.9053587,"domain_scores_codex":[0.998891,0.0001324117,0.0001582565,0.0003171111,0.0002643318,0.0002369204],"domain_scores_gemma":[0.9993224,0.0002159896,0.00005588022,0.0002954904,0.0000389926,0.00007129943],"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":[0.001169511,0.0007720402,0.2177414,0.002771092,0.0003547306,0.0005347962,0.02223558,0.002033668,0.00666894,0.1012771,0.05641532,0.5880258],"study_design_scores_gemma":[0.00166499,0.00002026115,0.2103457,0.0004608072,0.000268805,0.00003443972,0.1003468,0.08746669,0.0003695145,0.003164023,0.5942351,0.001622927],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7111393,0.0006627186,0.003086378,0.009754013,0.0002375277,0.0008220425,0.00003931785,0.0001000227,0.2741587],"genre_scores_gemma":[0.9971326,0.0001559435,0.002224845,0.00009130057,0.00007488786,0.000009018738,0.0000166629,0.000005676867,0.0002890358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5864029,"threshold_uncertainty_score":0.3769136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07614690909519434,"score_gpt":0.2934011525176709,"score_spread":0.2172542434224766,"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."}}