{"id":"W7162287637","doi":"10.63282/3050-922x.ijeret-v1i4p107","title":"Building a Privacy-Aware Customer Data Foundation: A Governance-First Approach to Digital Service Systems","year":2020,"lang":"","type":"article","venue":"International Journal of Emerging Research in Engineering and Technology","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"Data governance; Information privacy; Privacy by Design; Corporate governance; Data Protection Act 1998; Accountability; Privacy policy; Metadata; Big data","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022149,0.0002131065,0.0003754663,0.001203361,0.0002417179,0.0007635535,0.004235337,0.0002572775,0.00001292471],"category_scores_gemma":[0.00527617,0.0002291163,0.00004096605,0.002929711,0.00016606,0.001740929,0.00354532,0.001510214,0.00002116937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004896169,"about_ca_system_score_gemma":0.0003268577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005827534,"about_ca_topic_score_gemma":0.00003522234,"domain_scores_codex":[0.9964032,0.00009167554,0.0007838961,0.0005541138,0.001577808,0.0005892999],"domain_scores_gemma":[0.9975012,0.0002501249,0.0002884852,0.0004475506,0.001198838,0.0003138226],"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":[0.002220858,0.003040092,0.0256494,0.006120519,0.003757454,0.002160223,0.0673185,0.1654476,0.005240498,0.287148,0.02220379,0.4096932],"study_design_scores_gemma":[0.001483299,0.0003079252,0.0002439243,0.001976412,0.0000243447,0.0002925015,0.007048221,0.3838341,0.00009649227,0.001391186,0.6027988,0.0005028563],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3076029,0.01039838,0.2187878,0.4492595,0.008831671,0.002211114,0.0005386685,0.0003737703,0.00199622],"genre_scores_gemma":[0.9946341,0.001748887,0.002070281,0.00004828896,0.001427812,0.00001851354,0.00001476865,0.00002742474,0.000009913708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6870313,"threshold_uncertainty_score":0.9343091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08457624639611779,"score_gpt":0.3676941161821425,"score_spread":0.2831178697860247,"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."}}