{"id":"W4234819362","doi":"10.1007/978-3-030-44184-5_100139","title":"Privacy in Network Systems","year":2021,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Systems and Control","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Differential privacy; Data publishing; Computer science; Privacy software; Information privacy; Control (management); Scale (ratio); Privacy by Design; State (computer science); Access control; Computer security; Publishing; Data mining; Algorithm; Artificial intelligence","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":[0.000534961,0.0007264796,0.0005625195,0.0008403639,0.0008257547,0.0038973,0.0005931855,0.001357455,0.01732286],"category_scores_gemma":[0.001403147,0.0003528828,0.0002506296,0.001655825,0.002102884,0.003881406,0.0009748911,0.002341405,0.005070418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534129,"about_ca_system_score_gemma":0.0008388478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001116059,"about_ca_topic_score_gemma":0.001304776,"domain_scores_codex":[0.9994825,0.0001689401,0.00002098136,0.00007555648,0.0002164896,0.00003545063],"domain_scores_gemma":[0.9995252,0.0002709916,0.00002274817,0.0001083151,0.00005518891,0.00001754006],"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":[0.000008230707,0.00001998109,0.00007359606,0.0001476716,0.000006309823,0.00004859863,0.0002038882,0.001233064,0.0002965592,0.8524342,0.06837804,0.07714977],"study_design_scores_gemma":[0.000004025228,0.00001458367,0.0001850586,0.0001721296,0.000006615917,0.00020694,0.00007439188,0.002877512,0.000339866,0.50677,0.4893406,0.000008266025],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.002584013,0.08753125,0.1272137,0.00906584,0.001983768,0.00008864707,0.000400249,0.0004946402,0.7706378],"genre_scores_gemma":[0.1429052,0.1263362,0.04032919,0.004543541,0.005206106,0.0003354121,0.0008718097,0.0003892725,0.6790833],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01732286,"threshold_uncertainty_score":0.05795079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409686983946527,"score_gpt":0.2205726718577572,"score_spread":0.206475802018292,"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."}}