{"id":"W3024846856","doi":"10.2196/18868","title":"Privacy Assessment in Mobile Health Apps: Scoping Review","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad de Sevilla","keywords":"mHealth; Categorization; Computer science; Internet privacy; Information privacy; World Wide Web; Psychology; Psychological intervention; Artificial intelligence","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":[0.03809395,0.002221682,0.005311726,0.03680318,0.002559782,0.007858993,0.003140357,0.00484048,0.004362045],"category_scores_gemma":[0.1886012,0.001626346,0.007435936,0.02942588,0.002884268,0.008588213,0.00528499,0.002910952,0.0008224346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008313604,"about_ca_system_score_gemma":0.03192968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008574769,"about_ca_topic_score_gemma":0.01228749,"domain_scores_codex":[0.960518,0.01449962,0.01444964,0.001858612,0.007910175,0.0007639228],"domain_scores_gemma":[0.7814323,0.1759164,0.01775788,0.003392338,0.0207421,0.0007590311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000130543,0.00006427508,0.001104501,0.7674534,0.001406576,0.0002654995,0.002246799,0.0003284486,0.0002395228,0.003262028,0.004696743,0.2188017],"study_design_scores_gemma":[0.00001881768,0.00005609068,0.0008837511,0.9640422,0.003325752,0.000269607,0.000907277,0.00009269015,0.0002049959,0.0009368072,0.02923837,0.00002338892],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001112691,0.992735,0.001248113,0.001187731,0.0003416575,0.001047232,0.0003149445,0.00001737955,0.001995247],"genre_scores_gemma":[0.01042837,0.9833839,0.002825225,0.0007036823,0.0001777605,0.001919936,0.0003015928,0.00001336831,0.0002461099],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03809395,"threshold_uncertainty_score":0.2014624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.155881101912125,"score_gpt":0.5483558805457087,"score_spread":0.3924747786335837,"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."}}