{"id":"W4396782890","doi":"10.1109/jsait.2024.3397305","title":"Contraction of Locally Differentially Private Mechanisms","year":2024,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Information Theory","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Contraction (grammar); Medicine; Internal medicine","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":[0.01691751,0.001379939,0.002881649,0.001292086,0.001461626,0.003937283,0.004576081,0.003097506,0.006738852],"category_scores_gemma":[0.07695623,0.001047684,0.002072064,0.001354994,0.00555231,0.01372974,0.01005685,0.006941409,0.001035214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002832457,"about_ca_system_score_gemma":0.002329931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004015465,"about_ca_topic_score_gemma":0.000202238,"domain_scores_codex":[0.9869376,0.006174536,0.0006367436,0.002353278,0.002710948,0.001186929],"domain_scores_gemma":[0.9312836,0.04846819,0.005223436,0.009895911,0.003077233,0.002051756],"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":[0.0004255074,0.0001274425,0.001626838,0.0001931396,0.00009244218,0.0003646979,0.0006719469,0.08934145,0.006255751,0.876316,0.001200135,0.02338468],"study_design_scores_gemma":[0.00008128553,0.0002011784,0.0003105766,0.00004642229,0.00002879914,0.0003134346,0.0001006232,0.401322,0.00289882,0.5930587,0.001592457,0.0000457004],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06190771,0.0003349103,0.930742,0.00121092,0.00005695683,0.0001847969,0.0001865812,0.0002378206,0.005138359],"genre_scores_gemma":[0.8938959,0.0005158937,0.09504275,0.0006549609,0.0001363247,0.0009212271,0.0002483866,0.0001983501,0.008386253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01691751,"threshold_uncertainty_score":0.08946943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004835886490959991,"score_gpt":0.2111399457812486,"score_spread":0.2063040592902886,"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."}}