{"id":"W2279727250","doi":"","title":"Towards Cloud Data Warehouses of Multivalued Encrypted Values","year":2014,"lang":"en","type":"article","venue":"Journal of Information and Data Management","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Encryption; Cloud computing; Computer science; Overhead (engineering); Data redundancy; Schema (genetic algorithms); Redundancy (engineering); Data mining; Data warehouse; Sorting; Theoretical computer science; Database; Algorithm; Information retrieval; Computer network; 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":[0.001892315,0.00008548562,0.0001676283,0.000270446,0.00006361647,0.0002120815,0.00269465,0.00002509833,0.000009254821],"category_scores_gemma":[0.0001731622,0.00006567953,0.00002618251,0.0002414925,0.00004235395,0.008005624,0.002516172,0.0000863023,0.000004843754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007117007,"about_ca_system_score_gemma":0.0000243183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001904867,"about_ca_topic_score_gemma":0.000002153282,"domain_scores_codex":[0.9986688,0.00005878419,0.0006237996,0.0001200986,0.0004240737,0.0001044838],"domain_scores_gemma":[0.9976922,0.00004881143,0.0005630754,0.001500316,0.0001216373,0.0000739271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005377342,0.0001153522,0.0003304923,0.0002739967,0.0001526995,0.000003077309,0.001209328,0.00005343782,0.000008133835,0.310766,0.04890956,0.6381242],"study_design_scores_gemma":[0.002701395,0.0003146743,0.01928184,0.0002203644,0.0001121156,0.00004799885,0.001183883,0.2153271,0.0001518578,0.01549107,0.7448568,0.0003108805],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002183341,0.000102763,0.9940466,0.0004127886,0.0003568673,0.00009475253,0.0001743505,0.00002210523,0.002606475],"genre_scores_gemma":[0.3798768,0.001985991,0.6162204,0.001011761,0.0001559507,0.000001038971,0.0007387633,0.000005167505,0.000004138874],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6959473,"threshold_uncertainty_score":0.5803884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03653760927259316,"score_gpt":0.29144704049274,"score_spread":0.2549094312201468,"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."}}