{"id":"W4410265564","doi":"10.1007/s10916-025-02194-z","title":"Should Patients Be Able To Delete their Electronic Health Records??","year":2025,"lang":"en","type":"letter","venue":"Journal of Medical Systems","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Health informatics; Health records; Computer science; Electronic health record; Medical record; Medical emergency; Information retrieval; Data science; Data mining; Medicine; Health care; Nursing; Public health; Internal medicine; Political science","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00507187,0.0003008579,0.001548259,0.0007711751,0.0001078857,0.0001068609,0.001035066,0.0008435192,0.0002266583],"category_scores_gemma":[0.0006968379,0.000263509,0.0003208412,0.0003485392,0.00002340464,0.00009283404,0.0001413728,0.002937004,0.0001205149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001396631,"about_ca_system_score_gemma":0.00093331,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008227464,"about_ca_topic_score_gemma":0.0001782246,"domain_scores_codex":[0.9952093,0.0002014093,0.002699968,0.0003772593,0.0005291956,0.0009828416],"domain_scores_gemma":[0.9968218,0.0002082499,0.001920786,0.0004042582,0.0001343316,0.000510575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001037667,0.00004795482,0.0002454505,0.001076744,0.0001940305,0.00003409426,0.0001260204,0.000008485785,4.822327e-9,0.007198956,0.9868933,0.004164576],"study_design_scores_gemma":[0.0005083098,0.0005443759,0.00008152503,0.001064919,0.000008088547,0.00001608852,0.00002911144,0.000113033,1.269851e-7,0.001041827,0.9963866,0.0002059655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002498763,0.006289734,0.003620645,0.9793536,0.00636378,0.0006087199,0.0002158181,0.00001652725,0.003281318],"genre_scores_gemma":[0.008525562,0.004725031,0.0000418226,0.9728784,0.006952544,0.00004262264,0.00005321356,0.00005110077,0.006729684],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.009493323,"threshold_uncertainty_score":0.9999817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07838202294737343,"score_gpt":0.3086876131566177,"score_spread":0.2303055902092443,"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."}}