{"id":"W4382935627","doi":"10.3386/w31413","title":"How Good Are Privacy Guarantees? Platform Architecture and Violation of User Privacy","year":2023,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"William and Flora Hewlett Foundation","keywords":"Architecture; Internet privacy; Computer science; Information privacy; Privacy software; Computer security; Geography","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":[0.01822633,0.0008145777,0.001201086,0.0008952828,0.00220695,0.00816917,0.00206548,0.004665621,0.004879257],"category_scores_gemma":[0.06837405,0.001026309,0.001186531,0.001147529,0.006082873,0.01876743,0.004131218,0.005363492,0.0006257181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002962074,"about_ca_system_score_gemma":0.003167582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002128158,"about_ca_topic_score_gemma":0.001046787,"domain_scores_codex":[0.9832283,0.008941337,0.0008051018,0.002294982,0.002687832,0.002042413],"domain_scores_gemma":[0.93501,0.03638562,0.009453505,0.01427582,0.003075351,0.001799649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004505994,0.0002198547,0.00934277,0.000239071,0.0002190262,0.0002336374,0.0007558743,0.04094148,0.004591705,0.8966157,0.002816276,0.043574],"study_design_scores_gemma":[0.0001654653,0.0002958142,0.005174616,0.0001241385,0.0001060977,0.000316411,0.0005724108,0.0692149,0.003747557,0.9131864,0.007001122,0.00009502873],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4421875,0.002099154,0.4492046,0.04659786,0.000227909,0.0003263409,0.0008495282,0.0005482706,0.05795883],"genre_scores_gemma":[0.9826615,0.0002507232,0.0144175,0.0007272374,0.00006519495,0.00008246108,0.00003934195,0.00003666521,0.001719304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01822633,"threshold_uncertainty_score":0.0963912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3420467973306528,"score_gpt":0.4920468163269638,"score_spread":0.150000018996311,"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."}}