{"id":"W2562025978","doi":"10.1016/j.jcss.2016.12.005","title":"Secure and flexible cloud-assisted association rule mining over horizontally partitioned databases","year":2016,"lang":"en","type":"article","venue":"Journal of Computer and System Sciences","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick; University of Waterloo","funders":"","keywords":"Association rule learning; Database; Computer science; Cloud computing; Cloud database; Data mining; Operating system","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":[0.001855682,0.0001139245,0.0002552247,0.0001954415,0.0002547725,0.0004078779,0.003069584,0.00005525144,0.000002320795],"category_scores_gemma":[0.0007731913,0.0000690138,0.00003984397,0.0003238233,0.0001180403,0.00193549,0.005782526,0.00008193621,0.000001825957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009381604,"about_ca_system_score_gemma":0.00008841319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008804918,"about_ca_topic_score_gemma":0.000004235285,"domain_scores_codex":[0.9983562,0.0001290056,0.0004218844,0.0002822132,0.0005738615,0.000236788],"domain_scores_gemma":[0.9980865,0.000446324,0.0005711191,0.0006730495,0.0001344998,0.00008849749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006463358,0.0002257156,0.3765216,0.0003608057,0.0003439448,0.0005107357,0.0009032179,0.00003257484,0.007674384,0.05127522,0.3528785,0.2092087],"study_design_scores_gemma":[0.006381851,0.003915357,0.7254722,0.006754536,0.0001486232,0.01001632,0.001155038,0.1782549,0.006639406,0.04699115,0.01247345,0.001797176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5456369,0.0004645938,0.4467285,0.005704979,0.001127551,0.00006135413,0.00001202724,0.0001105021,0.0001535982],"genre_scores_gemma":[0.8329812,0.00006092216,0.1667288,0.00005473479,0.0001525025,0.000001200641,3.275876e-7,0.000002795643,0.00001755042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3489507,"threshold_uncertainty_score":0.7207505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03665077205309308,"score_gpt":0.279092838500106,"score_spread":0.2424420664470129,"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."}}