{"id":"W4408855460","doi":"10.2196/71844","title":"Knowledge Mapping and Global Trends in Simulation in Medical Education: Bibliometric and Visual Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Visualization; Bibliometrics; Field (mathematics); Library science; Regional science; Data science; Medical education; Geography; Computer science; Medicine; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0009879168,0.0001917761,0.0004386961,0.03029025,0.00007864519,0.00004379316,0.00009887024,0.0004444851,0.001154018],"category_scores_gemma":[0.002454927,0.0001954824,0.00006152931,0.08209687,0.000139285,0.0001712874,0.00005393463,0.0004120352,0.00000715213],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007613254,"about_ca_system_score_gemma":0.008756401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008615131,"about_ca_topic_score_gemma":0.0004689161,"domain_scores_codex":[0.9973629,0.0002170192,0.0008351352,0.0005444262,0.000752259,0.0002882926],"domain_scores_gemma":[0.9979952,0.0006020883,0.0001270042,0.0002317988,0.0003885355,0.0006553578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000311502,0.0009906593,0.6286237,0.000186575,0.00002857143,0.000001131889,0.0008670522,0.0000213287,3.75309e-7,0.0003784776,0.0008705835,0.3680004],"study_design_scores_gemma":[0.001089594,0.00004088534,0.915278,0.0006026067,0.00008323296,0.000009435658,0.0020241,0.07858159,8.352119e-7,0.0003106145,0.001852608,0.0001265308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656837,0.00433394,0.0003305375,0.02589729,0.0008321105,0.0004793028,0.000001821229,0.00004688001,0.002394429],"genre_scores_gemma":[0.9947875,0.0001507648,0.0001903902,0.00354626,0.0003469823,0.000257725,0.0002730644,0.0000102939,0.0004370442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3678738,"threshold_uncertainty_score":0.9997591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02838928675954572,"score_gpt":0.4921320060137204,"score_spread":0.4637427192541747,"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."}}