{"id":"W2114912439","doi":"10.1109/ccc.2012.24","title":"The Hardness of Being Private","year":2012,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Computer science; Context (archaeology); Communication complexity; Common value auction; Intersection (aeronautics); Function (biology); Conjecture; Differential privacy; Exponential function; Upper and lower bounds; Theoretical computer science; Mathematics; Discrete mathematics; Algorithm","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":[],"consensus_categories":[],"category_scores_codex":[0.000289742,0.00003041708,0.00003632485,0.00001512678,0.00008714643,0.00003599351,0.0004971365,0.00001145501,0.000006998943],"category_scores_gemma":[0.00001473449,0.00001748121,0.00002891137,0.0001671639,0.00003224485,0.0004028372,0.0002005421,0.00003183526,0.00001017426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001585118,"about_ca_system_score_gemma":0.000004470778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008887708,"about_ca_topic_score_gemma":0.000002366922,"domain_scores_codex":[0.9996229,0.00001800752,0.00007337016,0.00005594553,0.0000926083,0.0001371835],"domain_scores_gemma":[0.9995095,0.00005451605,0.00002467869,0.0003613512,0.0000151258,0.00003480657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[5.329408e-7,0.00001396812,0.006417058,0.000001812417,0.000002897676,5.846281e-8,0.0003260387,6.180612e-8,0.0001861516,0.9836395,0.0005619755,0.008849968],"study_design_scores_gemma":[0.0003376498,0.00004996674,0.1808632,0.00001825289,0.000009094736,0.00001036789,0.0001696865,0.002172931,0.05871124,0.2299358,0.527408,0.000313813],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0908934,0.0002160726,0.8958742,0.0004001485,0.000596207,0.00005371479,0.000001078159,0.00006477354,0.0119004],"genre_scores_gemma":[0.9801972,0.00001575471,0.01967781,0.00006437468,0.00002746603,0.000001486251,3.622497e-7,9.55505e-7,0.00001462181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8893037,"threshold_uncertainty_score":0.09238116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227805055454431,"score_gpt":0.2365213253778622,"score_spread":0.2242432748233179,"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."}}