{"id":"W4399401374","doi":"10.2196/52461","title":"Global Trends in mHealth and Medical Education Research: Bibliometrics and Knowledge Graph Analysis","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bibliometrics; mHealth; Data science; Computer science; Library science; Medicine; 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":["bibliometrics","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.007344149,0.0001846166,0.0003971586,0.01344587,0.0006296941,0.00004640248,0.0002595078,0.0007311814,0.002190044],"category_scores_gemma":[0.003339636,0.0001636289,0.00005928924,0.05091317,0.0003021732,0.0001808109,0.0001565347,0.001616807,0.0001039694],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006921752,"about_ca_system_score_gemma":0.03011853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003196754,"about_ca_topic_score_gemma":0.007839914,"domain_scores_codex":[0.9947372,0.001273319,0.001053185,0.0007558854,0.001312725,0.000867678],"domain_scores_gemma":[0.9949459,0.001312484,0.0001193434,0.0004033935,0.0004013509,0.002817546],"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":[0.00001695212,0.0006123184,0.0969822,0.001086481,0.00001827486,0.000001163496,0.001210398,5.482991e-8,1.271625e-7,0.04317136,0.1589019,0.6979988],"study_design_scores_gemma":[0.0004043831,0.00007076929,0.5771577,0.0006749205,0.00006231304,0.000009926016,0.001814017,0.001740321,5.460551e-8,0.006344989,0.41159,0.0001306722],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7056367,0.07215786,0.0005937159,0.1724746,0.00461439,0.00409413,0.00005759441,0.0003670205,0.04000401],"genre_scores_gemma":[0.9643097,0.01736082,0.0002489183,0.004886644,0.001230969,0.009882825,0.0003658241,0.00002568936,0.001688629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.697868,"threshold_uncertainty_score":0.9987221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1144941263665324,"score_gpt":0.6039902159135522,"score_spread":0.4894960895470197,"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."}}