{"id":"W2104083161","doi":"10.1109/icdmw.2006.3","title":"A Crypto-Based Approach to Privacy-Preserving Collaborative Data Mining","year":2006,"lang":"en","type":"article","venue":"","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Information privacy; Data mining; Data sharing; Privacy software; Internet privacy; Computer security; Data science","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","metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.000789756,0.000318163,0.0003186387,0.0003492943,0.0002425542,0.0006569072,0.107807,0.0001588445,0.00002949422],"category_scores_gemma":[0.02129766,0.000294462,0.00003562837,0.00267823,0.00009676365,0.001857336,0.2811553,0.000235488,0.00009067314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001109264,"about_ca_system_score_gemma":0.0002713394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000563623,"about_ca_topic_score_gemma":0.00012784,"domain_scores_codex":[0.996502,0.000125624,0.0004478785,0.00157998,0.0006279488,0.0007165241],"domain_scores_gemma":[0.9678682,0.0004387451,0.0001475327,0.03122978,0.000188786,0.0001269774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008233599,0.0001778377,0.0009350495,0.00002390285,0.00001630279,0.00001039402,0.00007340837,0.0004126149,0.0005644027,0.01029655,0.9834091,0.004072191],"study_design_scores_gemma":[0.0004631359,0.00006147358,0.0007642673,0.00004213614,0.000007506981,0.000005838014,0.0001193212,0.9272705,0.004263049,0.02844702,0.03802994,0.0005258513],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003262342,0.00008451471,0.9135385,0.02722665,0.0001718642,0.0005186159,0.00007636683,0.00167606,0.05344504],"genre_scores_gemma":[0.09049319,0.000001614637,0.9082353,0.0007103505,0.00006991727,0.00006579899,0.0001581857,0.00002460137,0.0002410576],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9453792,"threshold_uncertainty_score":0.9999508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05123874359697529,"score_gpt":0.2887728377220596,"score_spread":0.2375340941250844,"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."}}