{"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":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0006255662,0.00005811532,0.0000987093,0.0001101618,0.00001491044,0.0000158668,0.009830626,0.00002748052,1.790806e-7],"category_scores_gemma":[0.0004261215,0.00004020486,0.000005615248,0.0007504997,0.00003787965,0.0001709829,0.009998834,0.0001584893,4.354426e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004988141,"about_ca_system_score_gemma":0.00001636976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009951041,"about_ca_topic_score_gemma":0.00002248796,"domain_scores_codex":[0.9992861,0.00001839322,0.0002062029,0.0002064732,0.0001984308,0.00008441786],"domain_scores_gemma":[0.9971933,0.0003424638,0.00006676053,0.002378885,0.00001361194,0.000005009816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004950116,0.0003428179,0.002149225,0.0008491128,0.000106465,0.00002616528,0.004197498,0.4508113,0.006808389,0.3985194,0.008377385,0.1277627],"study_design_scores_gemma":[0.000142116,0.000009786025,0.01858254,0.00005572138,0.000001278613,0.000003067566,0.00004484673,0.9249923,0.0001953931,0.05583787,0.00009471753,0.0000403346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3377701,0.00007360666,0.6588376,0.002574523,0.0001080105,0.0003773536,0.00009228092,0.00008894268,0.00007756853],"genre_scores_gemma":[0.9709769,0.000007185696,0.02890712,0.00001065229,0.00001085902,0.00001132257,0.00007379198,0.000002074707,1.093156e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6332068,"threshold_uncertainty_score":0.9980081,"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."}}