{"id":"W3022729954","doi":"","title":"Private verification of access on medical data: An initial study","year":2017,"lang":"en","type":"article","venue":"VU Research Portal","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Reputation; Internet privacy; Computer science; Encryption; Computer security; Audit; Private information retrieval; Work (physics); Personally identifiable information; Confidentiality; Business; Engineering","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":[0.005541395,0.00006632462,0.000198214,0.0002627404,0.0003148152,0.000181942,0.002090981,0.00006859312,0.0005998818],"category_scores_gemma":[0.002100695,0.00006982928,0.00001963524,0.00009980451,0.0001594811,0.0006859687,0.0008418914,0.0002881922,0.0001833665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002205949,"about_ca_system_score_gemma":0.00009361749,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01053028,"about_ca_topic_score_gemma":0.001424126,"domain_scores_codex":[0.9984521,0.00008130683,0.0004459105,0.0004432579,0.000268461,0.0003089216],"domain_scores_gemma":[0.9974158,0.00005532914,0.0002241074,0.002054572,0.00005364167,0.0001965676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001147654,0.00185443,0.1218507,0.0001026689,0.00008689205,0.0001355551,0.0006860812,0.000002630665,0.000003396826,0.8444041,0.005586079,0.02517273],"study_design_scores_gemma":[0.001099778,0.0009957277,0.9083372,0.00003266196,0.00000277396,0.000001282864,0.0003434064,0.001453567,0.00007085776,0.01004158,0.07744031,0.0001808589],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9178081,0.00002882916,0.0001081483,0.004204813,0.0002849029,0.0006164623,0.0002483228,0.00001569549,0.07668476],"genre_scores_gemma":[0.9992043,0.00008991759,0.00002382843,0.00008591009,0.0002845343,0.00003725887,0.00007597907,0.00001141684,0.0001868503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8343625,"threshold_uncertainty_score":0.9960587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6508856081423952,"score_gpt":0.5577431114064979,"score_spread":0.09314249673589725,"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."}}