{"id":"W7149639955","doi":"10.71465/ajdsa3505","title":"The Role of Data Science in Consumer Privacy and Data Protection","year":2025,"lang":"","type":"article","venue":"American Journal of Data Science and Analysis","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Safeguarding; Big data; Information privacy; Data Protection Act 1998; Privacy by Design; Personally identifiable information; Privacy software; Differential privacy; Key (lock); Privacy policy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03713032,0.0005294078,0.0009330839,0.002305439,0.005822907,0.01544076,0.002066744,0.008748824,0.003613142],"category_scores_gemma":[0.04943307,0.0007000316,0.00109952,0.003417403,0.02924776,0.02812273,0.009170666,0.01492091,0.0009026015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005385724,"about_ca_system_score_gemma":0.007973566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001487377,"about_ca_topic_score_gemma":0.001233709,"domain_scores_codex":[0.9611147,0.02145902,0.001491867,0.002802543,0.01180996,0.001321933],"domain_scores_gemma":[0.8838401,0.08672463,0.004748234,0.01679258,0.006335922,0.001558466],"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":[0.0000176301,0.00002300887,0.0006284497,0.0001490276,0.0000111702,0.0001266984,0.001175278,0.0005217947,0.0003016182,0.97109,0.003663979,0.02229143],"study_design_scores_gemma":[0.0000110853,0.00004345482,0.0004001797,0.0006215178,0.00001329096,0.0004622549,0.001345527,0.001855562,0.001199902,0.8739409,0.1200704,0.00003587604],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0256677,0.0422817,0.303745,0.4455722,0.002245178,0.0002678266,0.0003052278,0.0002138779,0.1797012],"genre_scores_gemma":[0.7587063,0.04270621,0.1043311,0.07026521,0.004758895,0.0004081326,0.0002410347,0.0002371571,0.01834591],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03713032,"threshold_uncertainty_score":0.1963663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04883350600280891,"score_gpt":0.3475840682226634,"score_spread":0.2987505622198545,"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."}}