{"id":"W106417899","doi":"10.1007/978-3-319-06355-3_3","title":"Conjunctive Query over Encrypted Multidimensional Data","year":2014,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in computer science","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Encryption; Computer science; Information retrieval; Computer security","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":[0.002444839,0.0006494772,0.001430941,0.00113978,0.0008321072,0.003871174,0.001433591,0.001309876,0.007468367],"category_scores_gemma":[0.008555705,0.0005218173,0.0007472881,0.003367736,0.001598347,0.009518681,0.003227111,0.001753089,0.001651811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687089,"about_ca_system_score_gemma":0.0007135484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001533719,"about_ca_topic_score_gemma":0.001295278,"domain_scores_codex":[0.9956146,0.0009648322,0.00046289,0.0004691081,0.002131109,0.0003574429],"domain_scores_gemma":[0.9940088,0.004077229,0.0002834877,0.001036296,0.0004606895,0.0001335682],"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":[0.001475808,0.0003211485,0.003531772,0.00271308,0.0002789152,0.003449194,0.001489277,0.04816037,0.03774599,0.5609947,0.07495094,0.2648889],"study_design_scores_gemma":[0.0001978312,0.0002111787,0.001366724,0.0001953529,0.0001915518,0.004340838,0.0008895068,0.4463851,0.03305466,0.4497357,0.06333198,0.00009955512],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1066802,0.005282134,0.8354276,0.00542332,0.0005657501,0.0004755383,0.003753835,0.003417221,0.03897442],"genre_scores_gemma":[0.7451137,0.004344342,0.226058,0.001272374,0.0009049255,0.0003065632,0.004573496,0.0005104588,0.01691608],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007468367,"threshold_uncertainty_score":0.02498418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02760046625379104,"score_gpt":0.2588014941613064,"score_spread":0.2312010279075154,"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."}}