{"id":"W3136380842","doi":"10.2196/27406","title":"Comparing Smartphone Apps for Traditional Chinese Medicine and Modern Medicine in China: Systematic Search and Content Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; App store; Traditional Chinese medicine; Android (operating system); Telemedicine; Download; Medicine; Mobile apps; Traditional medicine; Health care; Internet privacy; World Wide Web; Alternative medicine; Computer science; Psychological intervention; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0124351,0.00126988,0.006305855,0.036576,0.001144218,0.001753829,0.001488236,0.001143731,0.002863159],"category_scores_gemma":[0.03860084,0.0007751576,0.005019663,0.02452794,0.001254627,0.002862863,0.002369155,0.0006993462,0.0002286457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003941079,"about_ca_system_score_gemma":0.01728385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01654943,"about_ca_topic_score_gemma":0.03184723,"domain_scores_codex":[0.9870011,0.00247881,0.006365736,0.001090277,0.002636289,0.0004277991],"domain_scores_gemma":[0.9549484,0.03032514,0.0081004,0.000790517,0.005159304,0.0006762449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.0008782864,0.0001443977,0.07760907,0.8021626,0.01323002,0.0006006579,0.00453619,0.0002339087,0.0009021249,0.0005125501,0.002968779,0.09622148],"study_design_scores_gemma":[0.001271656,0.001447572,0.3482545,0.4989662,0.112207,0.00129516,0.00890507,0.001298323,0.00108696,0.00102852,0.02397419,0.0002648522],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2250639,0.7392218,0.002022997,0.001441661,0.0002176463,0.01038591,0.0189814,0.0001072879,0.002557436],"genre_scores_gemma":[0.6109068,0.3519226,0.007254015,0.001935415,0.0002243639,0.01838747,0.008667579,0.00005853819,0.0006432146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.036576,"threshold_uncertainty_score":0.06576383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2953057676704,"score_gpt":0.4851517544377777,"score_spread":0.1898459867673778,"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."}}