{"id":"W2904645365","doi":"10.2196/medinform.9845","title":"OpenEHR and General Data Protection Regulation: Evaluation of Principles and Requirements","year":2018,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund","keywords":"General Data Protection Regulation; Data Protection Act 1998; Interoperability; Directive; Legislation; European union; Directive on Privacy and Electronic Communications; Data Protection Directive; Personally identifiable information; Software; Information privacy law; Computer security; Business; Computer science; Internet privacy; Privacy by Design; Political science; World Wide Web; Law; European Union law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007327761,0.00009087322,0.0002102547,0.00007630012,0.0003178778,0.000008685613,0.0001950163,0.0002460069,0.0003674456],"category_scores_gemma":[0.0009114267,0.00007253048,0.000007163711,0.000143059,0.0001613315,0.000486211,0.0003508272,0.0003139281,0.00003201653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000145624,"about_ca_system_score_gemma":0.001179116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001334377,"about_ca_topic_score_gemma":0.0002969359,"domain_scores_codex":[0.9968543,0.0004709624,0.001147198,0.000122511,0.001114243,0.0002908015],"domain_scores_gemma":[0.9982525,0.000101374,0.0005432805,0.0004682787,0.0004285919,0.0002060275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002710312,0.0001926337,0.04810888,0.01107137,0.0001679669,6.757674e-7,0.05276734,0.000005250952,0.0004304968,0.01312222,0.02587866,0.8479835],"study_design_scores_gemma":[0.002970604,0.0004335788,0.05090052,0.001336234,0.00004745238,0.00001706818,0.002263672,0.8619547,0.00007424512,0.0007714073,0.07905675,0.0001737589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985622,0.0001122917,0.002126229,0.0009130045,0.0004488884,0.003073518,0.00001298731,0.00003973201,0.007651274],"genre_scores_gemma":[0.9946668,0.00009566596,0.00280636,0.0006420839,0.0008397298,0.0003624141,0.0001006532,0.00001413484,0.0004721276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8619494,"threshold_uncertainty_score":0.4023272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3674824881268607,"score_gpt":0.5373649531194604,"score_spread":0.1698824649925997,"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."}}