{"id":"W2942276079","doi":"10.1016/j.ijlp.2019.04.002","title":"How private is your mental health app data? An empirical study of mental health app privacy policies and practices","year":2019,"lang":"en","type":"article","venue":"International Journal of Law and Psychiatry","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":133,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Australian Communications Consumer Action Network","keywords":"Internet privacy; Mental health; Privacy policy; Identity theft; Harm; Information privacy; Consumer privacy; Business; Psychology; Computer science; Psychiatry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.03369556,0.0002139767,0.0003993069,0.002121056,0.005728106,0.007220041,0.001314927,0.00218657,0.003924195],"category_scores_gemma":[0.1812647,0.0008372843,0.0005028078,0.002534782,0.00983083,0.01214214,0.005535624,0.006143016,0.0004448985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004502597,"about_ca_system_score_gemma":0.008550275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01633889,"about_ca_topic_score_gemma":0.01952009,"domain_scores_codex":[0.9706419,0.01954582,0.002168214,0.001590518,0.004287126,0.001766524],"domain_scores_gemma":[0.5779298,0.3421201,0.0527776,0.008760892,0.01283221,0.005579351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002997902,0.0016106,0.5324953,0.0002107255,0.00008806388,0.0004134716,0.4256791,0.000115254,0.000304877,0.01845177,0.001317819,0.01901321],"study_design_scores_gemma":[0.0000334319,0.0002647354,0.2291258,0.0005154519,0.00007926777,0.0005790173,0.755744,0.0007244297,0.0004265551,0.003996984,0.008457935,0.00005231177],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898627,0.0002054947,0.0005420845,0.003158224,0.000012333,0.00006526837,0.00008394079,0.000002346957,0.006067547],"genre_scores_gemma":[0.9985271,0.0001923861,0.0002611408,0.0004334384,0.000007273889,0.00004966162,0.00004215748,0.000005046598,0.0004818001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03369556,"threshold_uncertainty_score":0.1782013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1046689724763355,"score_gpt":0.4998881172918548,"score_spread":0.3952191448155192,"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."}}