{"id":"W4393254755","doi":"10.4108/eetpht.10.5583","title":"Safeguarding Patient Privacy: Exploring Data Protection in E-Health Laws: A Cross-Country Analysis","year":2024,"lang":"en","type":"article","venue":"EAI Endorsed Transactions on Pervasive Health and Technology","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Safeguarding; Internet privacy; Data Protection Act 1998; Business; Privacy protection; Environmental health; Law; Political science; Computer science; Medicine; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02936938,0.0002731841,0.0004685542,0.005145925,0.002891799,0.006670289,0.001054234,0.0015069,0.004867778],"category_scores_gemma":[0.05784996,0.0003770866,0.001168119,0.009854038,0.006078798,0.006536239,0.004861346,0.003597221,0.0003493508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005288247,"about_ca_system_score_gemma":0.005499444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02081326,"about_ca_topic_score_gemma":0.0155872,"domain_scores_codex":[0.9770358,0.01499646,0.001287204,0.001156998,0.002900942,0.002622459],"domain_scores_gemma":[0.8502562,0.1186169,0.01533966,0.003460384,0.01078511,0.00154167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002015106,0.0005439362,0.6639934,0.001102164,0.0005300957,0.002282194,0.1607013,0.001665348,0.0003508137,0.1225623,0.004040326,0.04202668],"study_design_scores_gemma":[0.00001748294,0.0002785954,0.486713,0.002477481,0.0004461763,0.0007472396,0.4712981,0.00305163,0.0005845955,0.006654913,0.02767606,0.00005473164],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585717,0.003333354,0.003788552,0.0058725,0.00005148706,0.0002993713,0.0004362619,0.000006888813,0.02763979],"genre_scores_gemma":[0.9966751,0.001000928,0.0008150648,0.0005109247,0.00001566491,0.00006723643,0.0001795653,0.000005812175,0.0007297566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02936938,"threshold_uncertainty_score":0.155322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07458883530133387,"score_gpt":0.3572497622320774,"score_spread":0.2826609269307436,"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."}}