{"id":"W3100371214","doi":"10.1016/j.procs.2020.10.070","title":"An Effective and Efficient Technique for Supporting Privacy-Preserving Keyword-Based Search over Encrypted Data in Clouds","year":2020,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche; University of Manitoba","keywords":"Computer science; Encryption; Plaintext; Cloud computing; Keyword search; Information retrieval; Matching (statistics); Database; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.002987659,0.0002273013,0.000257729,0.0003224872,0.0003333289,0.0006820563,0.005910996,0.00006800397,0.00000243788],"category_scores_gemma":[0.0006373834,0.0002176824,0.00003693256,0.002717223,0.0003266351,0.001847769,0.00428891,0.0002909489,0.000001388142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004238962,"about_ca_system_score_gemma":0.0003698611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004142854,"about_ca_topic_score_gemma":0.000008931665,"domain_scores_codex":[0.9964458,0.0001016993,0.00035841,0.001736137,0.0006360085,0.0007218912],"domain_scores_gemma":[0.9972492,0.0005158727,0.000122608,0.001506701,0.0002015079,0.0004040623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005345842,0.002188197,0.1304677,0.003006861,0.00004858136,0.0001729951,0.04523967,0.01780392,0.2040183,0.09113172,0.001269939,0.5041175],"study_design_scores_gemma":[0.0005502095,0.0003389176,0.01493817,0.00005946287,0.000003077899,0.000005972176,0.00001496201,0.9664624,0.01574656,0.001505123,0.000103402,0.0002716911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1855778,0.00003741886,0.8119324,0.0008187826,0.0001164245,0.001298729,0.00003102253,0.0001754897,0.00001199498],"genre_scores_gemma":[0.6248606,0.000001542964,0.3744414,0.0005246187,0.00007835357,0.00007120787,0.00001513842,0.000007151694,3.497009e-8],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9486585,"threshold_uncertainty_score":0.9994675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03024980591145811,"score_gpt":0.3198541843192543,"score_spread":0.2896043784077962,"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."}}