{"id":"W4398194877","doi":"10.2196/55061","title":"Medical Information Protection in Internet Hospital Apps in China: Scale Development and Content Analysis","year":2024,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Scale (ratio); China; Content analysis; Medical information; Internet privacy; Medicine; Computer science; World Wide Web; Family medicine; 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":[0.01066177,0.0004587887,0.0004223064,0.006617674,0.001015881,0.001265793,0.0006743894,0.0003926516,0.00117965],"category_scores_gemma":[0.02134204,0.0002684772,0.000969626,0.005276168,0.001154125,0.001128965,0.001415929,0.0004919851,0.0002886934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003097571,"about_ca_system_score_gemma":0.004580645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01664924,"about_ca_topic_score_gemma":0.01309119,"domain_scores_codex":[0.9945905,0.001345444,0.0009063784,0.0005785517,0.00221583,0.0003632101],"domain_scores_gemma":[0.97729,0.008885741,0.002786573,0.001500885,0.008709804,0.0008269454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001572446,0.0005438137,0.8932382,0.0003613726,0.00007860105,0.0002355138,0.01145274,0.0007004185,0.002270457,0.0004635852,0.001371947,0.08912624],"study_design_scores_gemma":[0.00002569189,0.0002463132,0.9879681,0.00005632612,0.00005142608,0.00006103324,0.004715085,0.003509389,0.00131829,0.0001301391,0.001890567,0.00002764842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951439,0.00004700641,0.001022205,0.00006084537,0.000005469507,0.001454336,0.0005722289,0.00003713842,0.001656956],"genre_scores_gemma":[0.9883975,0.000107975,0.006171728,0.00003603492,0.00001073728,0.002664804,0.001794445,0.00001346078,0.0008032231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01664924,"threshold_uncertainty_score":0.05638546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05311602741911636,"score_gpt":0.4115687564738127,"score_spread":0.3584527290546964,"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."}}