{"id":"W2782171913","doi":"10.2196/mhealth.7626","title":"Privacy Policies for Apps Targeted Toward Youth: Descriptive Analysis of Readability","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Human Genome Research Institute","keywords":"Readability; Internet privacy; Descriptive statistics; Privacy policy; Mobile apps; Psychology; Computer science; World Wide Web; Information privacy","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":[0.007507312,0.0003964826,0.0005472195,0.005851436,0.0004576301,0.001593904,0.0004705724,0.0004577625,0.001306273],"category_scores_gemma":[0.06177584,0.0002216502,0.001051264,0.003100401,0.0007389347,0.002117332,0.001458633,0.0006930138,0.0003401816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005450397,"about_ca_system_score_gemma":0.0008337935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0021616,"about_ca_topic_score_gemma":0.003082073,"domain_scores_codex":[0.9945655,0.00107758,0.001688917,0.0005177442,0.001846928,0.0003032896],"domain_scores_gemma":[0.8792234,0.07541923,0.02911096,0.003538696,0.0116685,0.001039205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003680478,0.00008883763,0.963976,0.0009237877,0.0001661294,0.0002572508,0.006895055,0.000198218,0.001285132,0.0002141217,0.0007782976,0.02484911],"study_design_scores_gemma":[0.000007652521,0.0002592055,0.9893204,0.000384948,0.000129557,0.0005105008,0.004353364,0.0007691483,0.001293289,0.0002362245,0.002710183,0.00002558095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921664,0.0007708968,0.001116734,0.00007420416,0.000008913567,0.0002873848,0.003827691,0.00005339742,0.001694578],"genre_scores_gemma":[0.9939986,0.0003548081,0.002175384,0.00004829057,0.00001250195,0.0005136891,0.00252074,0.00002380628,0.0003520616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007507312,"threshold_uncertainty_score":0.03970289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1760241075292829,"score_gpt":0.4868348170146264,"score_spread":0.3108107094853435,"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."}}