{"id":"W7139022961","doi":"10.1109/globecom59602.2025.11432524","title":"CSyncProxy: Differentially Private Third-party Cookie Synchronization","year":2025,"lang":"","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ericsson (Canada); McGill University","funders":"Canada Research Chairs","keywords":"Synchronization (alternating current); Blocking (statistics); Personalization; Control (management); The Internet; Online advertising; Matching (statistics); Proxy (statistics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00565275,0.0009461666,0.001249036,0.001379161,0.001602037,0.003327758,0.003114335,0.002153032,0.00715618],"category_scores_gemma":[0.01623899,0.0008940209,0.0008264541,0.001624583,0.002859439,0.00635589,0.007997155,0.004209456,0.002620605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751364,"about_ca_system_score_gemma":0.002975713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001602243,"about_ca_topic_score_gemma":0.001038184,"domain_scores_codex":[0.9939364,0.001273068,0.0004657661,0.00134459,0.002075786,0.0009044901],"domain_scores_gemma":[0.9745473,0.004411627,0.001472374,0.01701108,0.001691896,0.0008657438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004136635,0.0009683319,0.007674021,0.0006406237,0.0003709458,0.001126117,0.001720031,0.04017377,0.09972864,0.4901716,0.03114532,0.3221439],"study_design_scores_gemma":[0.0008435101,0.0008327279,0.002844339,0.0001876109,0.0002332952,0.00182929,0.000423812,0.433801,0.2256976,0.2084527,0.1243219,0.0005321289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04488106,0.0005075041,0.924926,0.0005813141,0.0002703714,0.0006010433,0.0004624078,0.01514288,0.01262746],"genre_scores_gemma":[0.8584911,0.0002594783,0.1258334,0.0005934924,0.000178887,0.0004694211,0.0005927911,0.0009867048,0.01259483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00715618,"threshold_uncertainty_score":0.02989501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619471997599198,"score_gpt":0.2845854527755368,"score_spread":0.2683907327995448,"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."}}