{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003717567,0.00007259008,0.000131207,0.0002110259,0.0006618444,0.0003194208,0.0006683431,0.00008592183,0.0001497861],"category_scores_gemma":[0.0008784241,0.00007115429,0.00001462195,0.0007900952,0.0003482958,0.002257781,0.001477101,0.0005862205,0.0001098139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002141279,"about_ca_system_score_gemma":0.0006364458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005051785,"about_ca_topic_score_gemma":0.00533066,"domain_scores_codex":[0.9971867,0.00101117,0.000202483,0.0003054801,0.000733592,0.0005605335],"domain_scores_gemma":[0.9988949,0.0002104914,0.00004278812,0.0005127188,0.0001683932,0.000170747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003096869,0.001238917,0.01445022,0.0007849585,0.00006478384,0.0003289666,0.499942,0.000001009605,0.0009032301,0.0447097,0.2307401,0.2065264],"study_design_scores_gemma":[0.0008476794,0.0001157423,0.04093077,0.0001075733,0.000002125244,0.00001526112,0.06386854,0.00035031,0.0004119994,0.007526449,0.8856169,0.0002066683],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9292238,0.0005722634,0.0002221657,0.05542909,0.0002485284,0.000862742,0.00018698,0.00003023828,0.01322418],"genre_scores_gemma":[0.9979149,0.0007135449,0.0003097549,0.0002082497,0.0001867692,0.0000499145,0.0001177086,0.00000729243,0.0004919077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6548768,"threshold_uncertainty_score":0.7636821,"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."}}