{"id":"W2008393584","doi":"10.4018/jdwm.2008100102","title":"Computing Join Aggregates Over Private Tables","year":2008,"lang":"en","type":"article","venue":"International Journal of Data Warehousing and Mining","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Join (topology); Computer science; Protocol (science); Private information retrieval; Matching (statistics); Inference; Computer security; Secret sharing; Theoretical computer science; Cryptography; Mathematics","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":[0.00789904,0.0007674127,0.001921604,0.0009890632,0.001865547,0.005859889,0.00201351,0.001601769,0.001892918],"category_scores_gemma":[0.01614511,0.000906986,0.001783533,0.001860257,0.002267415,0.01347881,0.008049337,0.002377974,0.0006167396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00140461,"about_ca_system_score_gemma":0.002052748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001340271,"about_ca_topic_score_gemma":0.0008886119,"domain_scores_codex":[0.9920086,0.001482567,0.0008637648,0.001357374,0.003483327,0.0008043881],"domain_scores_gemma":[0.9838297,0.004846087,0.001418235,0.008197137,0.001046007,0.0006627592],"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":[0.002433978,0.0003780055,0.009590995,0.0004202519,0.0003747417,0.0006793083,0.00346307,0.2285867,0.04833683,0.5098264,0.005157177,0.1907526],"study_design_scores_gemma":[0.0001953253,0.0002980063,0.0008508886,0.00003459257,0.0001736784,0.000270615,0.0006262672,0.6010603,0.05913251,0.324677,0.01259848,0.00008237942],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09136068,0.0002146485,0.9036915,0.0005025084,0.00005209575,0.0001740124,0.0003157771,0.001784572,0.001904313],"genre_scores_gemma":[0.7325798,0.0002597604,0.2618133,0.0001465557,0.0001084989,0.000237914,0.0009196524,0.0002575768,0.003676973],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00789904,"threshold_uncertainty_score":0.04177463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.076248266712977,"score_gpt":0.3195461971826842,"score_spread":0.2432979304697072,"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."}}