{"id":"W4213423749","doi":"10.2196/33735","title":"Privacy, Data Sharing, and Data Security Policies of Women’s mHealth Apps: Scoping Review and Content Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Internet privacy; Privacy policy; App store; Android (operating system); Data sharing; Information privacy; Computer science; Data security; World Wide Web; Computer security; Health care; Encryption; Medicine; Political science","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.01210667,0.0004405809,0.002023418,0.0005804899,0.003657918,0.00002524431,0.001624844,0.0001900872,0.0003653566],"category_scores_gemma":[0.0005624234,0.0004272401,0.00004661544,0.001532065,0.0002879061,0.000390692,0.005875679,0.001605276,0.000005601694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006861248,"about_ca_system_score_gemma":0.004272751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009553065,"about_ca_topic_score_gemma":0.00243575,"domain_scores_codex":[0.9907408,0.001411064,0.002891828,0.002081047,0.0006530158,0.002222278],"domain_scores_gemma":[0.99007,0.0007735777,0.002021679,0.004244566,0.0002033152,0.002686895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005179492,0.0007614249,0.5091191,0.3967757,0.0003146748,0.000004643902,0.01616863,0.000002811331,0.000003482999,0.01582929,0.02723884,0.03326347],"study_design_scores_gemma":[0.01091176,0.002655318,0.6103019,0.01959293,0.00521824,0.0001291099,0.03701066,0.01021636,7.869487e-7,0.003638246,0.2980869,0.002237834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7227177,0.2215503,0.0001589396,0.03432649,0.0003190623,0.01531505,0.00507295,0.0002125954,0.0003268704],"genre_scores_gemma":[0.572672,0.3858784,0.0006182712,0.02945876,0.0002486596,0.0082802,0.002633894,0.00006954583,0.0001402318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3771828,"threshold_uncertainty_score":0.999818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3214152541937493,"score_gpt":0.5377821100773617,"score_spread":0.2163668558836124,"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."}}