{"id":"W1933611640","doi":"10.5931/djim.v9i1.3341","title":"Controlling the Clouds: Privacy Laws and Cloud Computing in Canada‘s Legal Sector","year":2013,"lang":"en","type":"article","venue":"Dalhousie Journal of Interdisciplinary Management","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Cloud computing; Privacy rights; Privacy law; Internet privacy; Information privacy; Privacy laws of the United States; Law; Business; Political science; Computer science; Privacy policy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.008328328,0.0001845347,0.0003186065,0.001614316,0.02884964,0.01838134,0.002823655,0.01216708,0.00458643],"category_scores_gemma":[0.02669791,0.0006734735,0.0005370792,0.00344872,0.01806791,0.005399249,0.005142482,0.01245324,0.0002849667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1364406,"about_ca_system_score_gemma":0.2646278,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9726617,"about_ca_topic_score_gemma":0.974423,"domain_scores_codex":[0.9894897,0.001231154,0.0004042609,0.0006830588,0.003957254,0.004234651],"domain_scores_gemma":[0.9744271,0.01618929,0.002138345,0.0006224276,0.003816999,0.002805889],"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":[0.00001530602,0.00002915255,0.004207475,0.00004089276,0.000005904011,0.0006208891,0.01071037,0.0005228201,0.0002077547,0.9572185,0.01707708,0.009343891],"study_design_scores_gemma":[0.00005202489,0.00006592663,0.03190072,0.001207943,0.00009037161,0.0005258829,0.06510065,0.00867723,0.001905297,0.2423971,0.6476975,0.0003793233],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1735639,0.007586391,0.004194486,0.5688384,0.000754658,0.0001410542,0.0004320246,0.00008173401,0.2444075],"genre_scores_gemma":[0.8929419,0.004851605,0.001859084,0.062187,0.0002933567,0.0000452501,0.00008000111,0.00004557483,0.03769627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1364406,"threshold_uncertainty_score":0.9899503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007963540326203,"score_gpt":0.29645506599772,"score_spread":0.276375430594458,"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."}}