{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008779141,0.0001902955,0.0004009371,0.0002051196,0.0001513966,0.0001898897,0.0006856227,0.00005717537,0.00008876631],"category_scores_gemma":[0.00001645388,0.0001651478,0.0000748171,0.00008063774,0.0001015019,0.001181245,0.000279519,0.0003555619,0.000008932393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000927529,"about_ca_system_score_gemma":0.0001671427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008509238,"about_ca_topic_score_gemma":0.0003864608,"domain_scores_codex":[0.9974984,0.0002967341,0.000953107,0.0003544626,0.0006243478,0.0002729406],"domain_scores_gemma":[0.9970326,0.00005811007,0.002124899,0.0003686116,0.0001077782,0.0003079681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00292891,0.01707974,0.7911246,0.0003746128,0.00204915,0.00001354358,0.04912781,8.71837e-7,0.00003961185,0.04781853,0.06511434,0.0243283],"study_design_scores_gemma":[0.01785967,0.03101045,0.4486507,0.001446176,0.00009353655,0.003330608,0.06460543,0.00009300367,0.00002861018,0.00664085,0.4255406,0.0007003299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8915848,0.002056053,0.00002326157,0.1003117,0.003986326,0.0004941949,0.0005720397,0.00001378691,0.0009578442],"genre_scores_gemma":[0.991996,0.0001264188,0.001066321,0.00581151,0.0004015576,0.000003419919,0.00008145437,0.00002291292,0.0004903558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3604262,"threshold_uncertainty_score":0.673453,"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."}}