{"id":"W3190319023","doi":"10.2196/31097","title":"Exploring the Shift in International Trends in Mobile Health Research From 2000 to 2020: Bibliometric Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ritsumeikan University","keywords":"mHealth; The Internet; Popularity; Telemedicine; Trend analysis; Computer science; World Wide Web; Data science; Health care; Geography; Psychology; Political science","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01031613,0.0007175992,0.001615068,0.1481422,0.000885707,0.006058045,0.0009942444,0.0008060187,0.003064672],"category_scores_gemma":[0.04805026,0.0003436777,0.00281877,0.2347883,0.0007399663,0.004719325,0.002494758,0.0007472439,0.001000612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002389334,"about_ca_system_score_gemma":0.004495088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009652287,"about_ca_topic_score_gemma":0.01126738,"domain_scores_codex":[0.9887272,0.001855387,0.00330456,0.001384905,0.004074841,0.0006530099],"domain_scores_gemma":[0.9454483,0.02757492,0.0141874,0.001531632,0.009974168,0.001283579],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002281926,0.0001007784,0.7986655,0.02026383,0.002913992,0.0006813772,0.004007643,0.002298367,0.001021139,0.004647449,0.0197057,0.145466],"study_design_scores_gemma":[0.00003563934,0.0001043329,0.9111473,0.00421455,0.001806269,0.001125547,0.006234467,0.00401811,0.0008690957,0.002130841,0.06821737,0.00009643457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6465561,0.1232337,0.004278372,0.007079398,0.0004417351,0.0006762685,0.1910771,0.000664676,0.02599262],"genre_scores_gemma":[0.8619745,0.06286386,0.007521606,0.0004809809,0.0005803879,0.001114031,0.06349034,0.0001421629,0.001832022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9896839,"threshold_uncertainty_score":0.0545575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3563652664254299,"score_gpt":0.5615503731370869,"score_spread":0.205185106711657,"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."}}