{"id":"W2767017043","doi":"10.2196/mhealth.7791","title":"Client-Focused Security Assessment of mHealth Apps and Recommended Practices to Prevent or Mitigate Transport Security Issues","year":2017,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Confidentiality; Internet privacy; Android (operating system); Computer security; Health care; Computer science; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.01068112,0.0008323673,0.0004325981,0.002411844,0.001120855,0.001985597,0.0008880888,0.001053133,0.002185555],"category_scores_gemma":[0.03977205,0.0003605923,0.0007196393,0.0007579232,0.0005868943,0.002715904,0.001707331,0.0007916915,0.0008329552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392869,"about_ca_system_score_gemma":0.00288776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001986886,"about_ca_topic_score_gemma":0.003047486,"domain_scores_codex":[0.9944865,0.002278848,0.0007485612,0.0003123692,0.001739838,0.0004338358],"domain_scores_gemma":[0.9743312,0.01096173,0.00471378,0.001095792,0.007919726,0.0009776782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001275695,0.002778805,0.49422,0.002397059,0.0001306807,0.001632447,0.03959959,0.001290763,0.01541646,0.0007958821,0.005574655,0.4348879],"study_design_scores_gemma":[0.0001589641,0.007642255,0.858567,0.004107884,0.000445108,0.004673965,0.05425875,0.01720637,0.02806686,0.002499956,0.02200506,0.0003678354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797637,0.0007293056,0.007935695,0.001598301,0.00003608497,0.00224136,0.000241885,0.0007222935,0.006731316],"genre_scores_gemma":[0.9735968,0.0007793762,0.02275095,0.0002255267,0.00001372755,0.0007713551,0.0002463933,0.0000338984,0.001582169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01068112,"threshold_uncertainty_score":0.05648786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1342557052029016,"score_gpt":0.542906739212538,"score_spread":0.4086510340096364,"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."}}