{"id":"W4387896041","doi":"10.54254/2755-2721/15/20230804","title":"Balance of rights in the protection of users' data interests in the era of big data","year":2023,"lang":"en","type":"article","venue":"Applied and Computational Engineering","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Big data; Data Protection Act 1998; Balance (ability); Internet privacy; Order (exchange); Cloud computing; Value (mathematics); Key (lock); Fundamental rights; Computer security; Computer science; Business; Political science; Human rights; Law; Psychology; Data mining","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":[0.03225063,0.0004125906,0.0008432994,0.002606835,0.003428539,0.0125896,0.001847441,0.004097407,0.002533233],"category_scores_gemma":[0.05596291,0.0004730584,0.0008959596,0.003239456,0.01609715,0.03790655,0.006974269,0.006129037,0.0005041665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003595239,"about_ca_system_score_gemma":0.004603383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001087207,"about_ca_topic_score_gemma":0.000897395,"domain_scores_codex":[0.9723528,0.01503959,0.001265694,0.002201837,0.007318933,0.001821267],"domain_scores_gemma":[0.9218343,0.05590656,0.007334086,0.007798595,0.00531174,0.001814661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006039444,0.00002807269,0.002624641,0.0002705179,0.00002479614,0.0002290399,0.004775437,0.0007994683,0.0006737628,0.9416982,0.001693667,0.04712204],"study_design_scores_gemma":[0.0000165373,0.0000822217,0.002822496,0.0008828237,0.00004537752,0.0007031443,0.006213867,0.002332937,0.001578445,0.9183918,0.06687588,0.00005442842],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.188472,0.08254109,0.2795698,0.1903266,0.001490427,0.0002711536,0.0002333182,0.0001413671,0.2569543],"genre_scores_gemma":[0.9577668,0.01335255,0.01877157,0.004746686,0.001055982,0.0001044316,0.00005746498,0.00003666147,0.004107881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03225063,"threshold_uncertainty_score":0.1705596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06035683638239013,"score_gpt":0.2657568379126303,"score_spread":0.2054000015302402,"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."}}