{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02025282,0.000188914,0.0005579574,0.001539955,0.001514577,0.003350724,0.001190853,0.002053764,0.01663496],"category_scores_gemma":[0.1428721,0.0003593689,0.0005500233,0.0024769,0.002988274,0.006361599,0.003204588,0.002290301,0.001471498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002716915,"about_ca_system_score_gemma":0.004883681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02243705,"about_ca_topic_score_gemma":0.01268917,"domain_scores_codex":[0.977702,0.01396442,0.001133386,0.001335714,0.003351767,0.002512771],"domain_scores_gemma":[0.6221907,0.3012668,0.02872239,0.02436711,0.0179182,0.005534939],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002711358,0.003089134,0.906252,0.0002877654,0.0001361579,0.0007778011,0.007457636,0.001582986,0.0004604429,0.02887528,0.005619372,0.04275009],"study_design_scores_gemma":[0.0007369785,0.00240984,0.8768647,0.0004746045,0.0002935097,0.00175156,0.03068775,0.014684,0.004096118,0.03020137,0.03771197,0.00008763763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825554,0.0005782192,0.001733264,0.002900227,0.00001797339,0.0001048774,0.001763349,0.00001963983,0.01032727],"genre_scores_gemma":[0.9979457,0.0001082385,0.0002306895,0.0001345978,0.0000219435,0.0000155804,0.0003896996,0.000009151948,0.001144409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9797472,"threshold_uncertainty_score":0.1071084,"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."}}