{"id":"W3108676448","doi":"10.2196/23409","title":"Privacy Policy Compliance of Chronic Disease Management Apps in China: Scale Development and Content Evaluation","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"mHealth; Scale (ratio); Business; Privacy policy; Medicine; Personally identifiable information; Internet privacy; Computer science; Computer security; Information privacy; Psychological intervention; Nursing; Geography","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":[0.02912589,0.0007605557,0.001065859,0.004767501,0.001548362,0.001505226,0.000893106,0.0007747196,0.001676189],"category_scores_gemma":[0.03968991,0.0005795802,0.002163467,0.003806434,0.001963055,0.001892465,0.002264275,0.0009759017,0.0002560265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004439859,"about_ca_system_score_gemma":0.009134959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008399503,"about_ca_topic_score_gemma":0.007653124,"domain_scores_codex":[0.9847196,0.004447466,0.003021318,0.001162828,0.005890176,0.0007585394],"domain_scores_gemma":[0.9588193,0.01697908,0.005919433,0.002603423,0.01379399,0.001884855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001236524,0.005117439,0.8063603,0.00183486,0.0003925265,0.0002671677,0.01902535,0.001411314,0.002900654,0.0008275684,0.002271212,0.158355],"study_design_scores_gemma":[0.000410535,0.002970915,0.9801922,0.000218437,0.0003081152,0.00007621122,0.006118041,0.004487315,0.002583652,0.000235888,0.002307988,0.00009055272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932206,0.00007666863,0.0009805972,0.00008603684,0.00001018048,0.004070772,0.0004267689,0.00003584562,0.001092654],"genre_scores_gemma":[0.9798815,0.0002262167,0.007284065,0.00009014865,0.00001864221,0.01021439,0.001499996,0.00001619308,0.0007687184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02912589,"threshold_uncertainty_score":0.1540343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2081110502529767,"score_gpt":0.4878915620044396,"score_spread":0.2797805117514628,"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."}}