{"id":"W4416392999","doi":"10.1080/14697688.2025.2558687","title":"Handbook of Sharing Confidential Data: Differential Privacy, Secure Multiparty Computation, and Synthetic Data","year":2025,"lang":"en","type":"article","venue":"Quantitative Finance","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Confidentiality; Synthetic data; Differential privacy; Data sharing; Differential (mechanical device); Intellectual property","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":["metaresearch","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0004280797,0.0001971777,0.0003488456,0.0001670518,0.0001662339,0.0001954804,0.02948658,0.00009317941,0.000005662331],"category_scores_gemma":[0.01044701,0.0001947738,0.0000214522,0.0004581845,0.0004284798,0.001715709,0.1428243,0.0002352151,0.000007805217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002111961,"about_ca_system_score_gemma":0.000103948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009077133,"about_ca_topic_score_gemma":0.0000381289,"domain_scores_codex":[0.9977397,0.00008287431,0.0004341473,0.001220255,0.0002511623,0.0002718834],"domain_scores_gemma":[0.9884276,0.000507336,0.0002790312,0.01060005,0.0001601977,0.00002581851],"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":[0.0001723826,0.0006424661,0.01117897,0.001114345,0.0005146763,0.00006500692,0.001647312,0.0002060641,0.009647068,0.4694595,0.4277847,0.07756756],"study_design_scores_gemma":[0.0005446671,0.00005046599,0.004328999,0.000526375,0.00002522997,0.000004641212,0.00003100378,0.9026843,0.00291518,0.08693031,0.001760356,0.0001984948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0453361,0.002074462,0.9488896,0.002123296,0.00043983,0.0002754153,0.0005704467,0.0001884388,0.0001023907],"genre_scores_gemma":[0.5475771,0.0003684728,0.4517214,0.00003515631,0.00001085703,0.000008770295,0.0002270013,0.000008586546,0.0000427118],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9024782,"threshold_uncertainty_score":0.9978884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08312985104262735,"score_gpt":0.3533882449371761,"score_spread":0.2702583938945488,"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."}}