{"id":"W4387354524","doi":"10.2196/48714","title":"Personal Information Protection and Privacy Policy Compliance of Health Code Apps in China: Scale Development and Content Analysis","year":2023,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Central South University","keywords":"Mainland China; Scale (ratio); mHealth; Privacy policy; Medicine; Environmental health; Internet privacy; Business; Psychology; Computer science; Information privacy; China; Psychological intervention; Geography; Nursing","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"],"consensus_categories":[],"category_scores_codex":[0.001518874,0.0003498824,0.001672032,0.001463327,0.0002877474,0.0001586291,0.000254704,0.0001493989,3.936672e-7],"category_scores_gemma":[0.00007881496,0.0003165747,0.00008937768,0.002034784,0.00006191704,0.0007098638,0.0002875347,0.0004224469,0.000004428665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007517106,"about_ca_system_score_gemma":0.003291006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002903687,"about_ca_topic_score_gemma":0.0009323754,"domain_scores_codex":[0.9966502,0.0002536857,0.001595438,0.0005563743,0.0003668586,0.0005774647],"domain_scores_gemma":[0.9979104,0.0001307421,0.001195303,0.0002911774,0.0000692296,0.0004031466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000007819117,0.00003014426,0.0003950881,0.07733643,0.0000381546,6.430203e-7,0.004699329,0.000001168266,1.686443e-8,0.0005326765,0.000005769844,0.9169527],"study_design_scores_gemma":[0.003521665,0.001472964,0.4533513,0.06413273,0.0004660862,0.0001693086,0.001039403,0.02977278,8.080745e-7,0.0004525007,0.4434056,0.002214885],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007672056,0.957336,0.02710526,0.003246561,0.0001045401,0.004206816,0.0001187404,0.0001742227,0.00003580931],"genre_scores_gemma":[0.01950893,0.9776255,0.001904678,0.0004901789,0.00003574143,0.0003049794,0.00008699987,0.00001927845,0.00002369121],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9147379,"threshold_uncertainty_score":0.9999287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2748805308398433,"score_gpt":0.4356581647211077,"score_spread":0.1607776338812645,"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."}}