{"id":"W3045984985","doi":"10.2196/18212","title":"Theme Trends and Knowledge Structure on Mobile Health Apps: Bibliometric Analysis","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Medical University","keywords":"mHealth; Digital health; The Internet; Popularity; Mobile phone; Library science; World Wide Web; Telemedicine; Health care; Internet privacy; Computer science; Medicine; Psychology; Telecommunications; Nursing; Political science; Psychological intervention","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01345806,0.0007986778,0.002722796,0.1787912,0.001636454,0.005594314,0.001350952,0.0008876798,0.004228697],"category_scores_gemma":[0.09099846,0.0003953744,0.003352595,0.2081533,0.001059932,0.004677762,0.003450305,0.0006813795,0.0007734071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002853902,"about_ca_system_score_gemma":0.005830454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00656267,"about_ca_topic_score_gemma":0.006793601,"domain_scores_codex":[0.9820713,0.003691345,0.003903065,0.002251213,0.0073242,0.0007588998],"domain_scores_gemma":[0.8861047,0.08454707,0.01473682,0.002509851,0.0110529,0.00104865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004958929,0.0002331336,0.6447486,0.04188727,0.004664971,0.0009741016,0.01235442,0.004389366,0.002487035,0.005929294,0.01487274,0.2669632],"study_design_scores_gemma":[0.0001570134,0.0003371932,0.8432164,0.009784386,0.006394523,0.002409268,0.01781342,0.01904269,0.002828551,0.01130132,0.08644852,0.0002668229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7923684,0.06101796,0.008490711,0.002923049,0.0002105704,0.002160412,0.10985,0.0005855602,0.02239338],"genre_scores_gemma":[0.9057578,0.03267769,0.01548913,0.0001955796,0.0003819409,0.003271322,0.04008545,0.0001310258,0.00201003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8212088,"threshold_uncertainty_score":0.07117385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09990733422089126,"score_gpt":0.4854177981160285,"score_spread":0.3855104638951373,"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."}}