{"id":"W2607608011","doi":"10.1109/iciht.2017.7899007","title":"Privacy-preserving querying mechanism on privately encrypted personal health records","year":2017,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Encryption; Internet privacy; Computer science; Mechanism (biology); Computer security; Information privacy; Cryptography; Personally identifiable information","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007505047,0.00019471,0.0002242722,0.0001409416,0.001364939,0.0008544659,0.003455925,0.00007484706,0.0001275869],"category_scores_gemma":[0.0002373745,0.0001729614,0.0001166422,0.0001458495,0.00004764442,0.00134902,0.001793765,0.0002752826,0.00006414264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000496871,"about_ca_system_score_gemma":0.0001291277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001456739,"about_ca_topic_score_gemma":0.0002733369,"domain_scores_codex":[0.9980936,0.0000916237,0.0002562088,0.0006310276,0.0004267425,0.0005008061],"domain_scores_gemma":[0.9972106,0.00008616765,0.000252098,0.002157326,0.00005746269,0.0002363915],"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":[0.00001560481,0.0001018142,0.001486035,0.00003198184,0.00001917913,0.00001551116,0.001473989,5.485222e-7,0.0004176181,0.9544897,0.004996278,0.03695171],"study_design_scores_gemma":[0.002497923,0.001642675,0.1038512,0.000640918,0.0000141094,0.00008332956,0.0004266748,0.1419211,0.01321214,0.6796372,0.05393541,0.002137377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1409136,0.00007997817,0.8236504,0.01469628,0.001334984,0.0004243453,0.00002325672,0.0006354951,0.01824174],"genre_scores_gemma":[0.8647382,0.00006857577,0.1332465,0.001721582,0.0001244704,0.00001163159,0.000008215164,0.0000113135,0.00006956687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7238246,"threshold_uncertainty_score":0.9999352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04706662028263485,"score_gpt":0.304843204477797,"score_spread":0.2577765841951621,"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."}}