{"id":"W4388849169","doi":"10.21203/rs.3.rs-3626763/v1","title":"Exploring Intermediate Paradigms: A Comparative Analysis of Shuffle and Pan-Private Models in Differential Privacy with Emphasis on Trust Levels, Engineering, and Mathematical Perspectives","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Differential privacy; Viewpoints; Computer science; Bridge (graph theory); Information privacy; Differential (mechanical device); Data science; Private information retrieval; Internet privacy; Computer security; Data mining; Engineering","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":[0.0144687,0.0006377347,0.001660437,0.002044279,0.002373212,0.01018802,0.003020621,0.003182571,0.008940574],"category_scores_gemma":[0.04123237,0.0005528508,0.002477748,0.002319441,0.00708214,0.02446929,0.005507252,0.006529029,0.0006729939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005063314,"about_ca_system_score_gemma":0.003978876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001956689,"about_ca_topic_score_gemma":0.002099418,"domain_scores_codex":[0.9899102,0.006267,0.0002852631,0.0006186112,0.001985002,0.0009339218],"domain_scores_gemma":[0.9470238,0.0397708,0.00355309,0.005767455,0.002322008,0.001562882],"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":[0.00003148698,0.00002203794,0.0001762907,0.00002409223,0.00001183537,0.00001197005,0.0001164294,0.004793229,0.00004991392,0.9924772,0.0002100825,0.002075448],"study_design_scores_gemma":[0.00001664538,0.00004937335,0.0001942853,0.00003447131,0.00002222754,0.00003979751,0.0002875382,0.04165566,0.0001495181,0.9561086,0.001424718,0.00001723187],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1468451,0.004309584,0.7489296,0.01475118,0.0001568317,0.0001965436,0.0003047793,0.0001782055,0.08432826],"genre_scores_gemma":[0.9651219,0.002061246,0.02775383,0.0004567579,0.0001419285,0.0001336518,0.0000747925,0.00007262901,0.004183104],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0144687,"threshold_uncertainty_score":0.07651871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2974145823573801,"score_gpt":0.3962000816758743,"score_spread":0.09878549931849429,"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."}}