{"id":"W3124789454","doi":"10.2196/17456","title":"Mind Your Data: Privacy and Legal Matters in eHealth","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"VSNU Vereniging van Universiteiten; University of Twente; Universiteit Leiden; University of Exeter","keywords":"eHealth; Internet privacy; Sophistication; Information privacy; Health care; Solidarity; Health Insurance Portability and Accountability Act; Digital health; Computer science; Business; Public relations; Computer security; Confidentiality; Political science; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2422885,0.0006003662,0.001707179,0.00213837,0.01120948,0.03386649,0.004617718,0.0338103,0.006135309],"category_scores_gemma":[0.3061678,0.0009744509,0.00169945,0.004195266,0.07962589,0.03984519,0.01568213,0.03481026,0.001701151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009632005,"about_ca_system_score_gemma":0.02459323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005286532,"about_ca_topic_score_gemma":0.003450884,"domain_scores_codex":[0.6591086,0.2704,0.01492828,0.01204764,0.03821291,0.005302623],"domain_scores_gemma":[0.3981641,0.5342593,0.01336555,0.03113064,0.01698732,0.006093096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001156275,0.00005527518,0.00133288,0.0006946799,0.00005013462,0.0005396911,0.03093993,0.0003428387,0.000490825,0.8201556,0.06289556,0.082387],"study_design_scores_gemma":[0.00006802902,0.0001300344,0.001509589,0.004029937,0.00006601697,0.00136585,0.01691383,0.0008664325,0.001238869,0.643631,0.3300107,0.0001696895],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003109531,0.0113388,0.02030108,0.9405813,0.002419366,0.00008426596,0.00009279134,0.00006372112,0.02200925],"genre_scores_gemma":[0.3451778,0.02136363,0.04012084,0.5667706,0.01374476,0.000770283,0.0002515331,0.0002238725,0.01157674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2422885,"threshold_uncertainty_score":0.9343931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1688968761723887,"score_gpt":0.4848418497666233,"score_spread":0.3159449735942346,"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."}}