{"id":"W4405274217","doi":"10.2196/58165","title":"Topics and Trends of Health Informatics Education Research: Scientometric Analysis","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health informatics; Informatics; Data science; Computer science; Library science; Political science; Health care","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":[],"consensus_categories":[],"category_scores_codex":[0.01021664,0.00009152477,0.0003265062,0.005433842,0.0003856685,0.00002357564,0.0001885617,0.0002325267,0.0007674822],"category_scores_gemma":[0.001920562,0.00007623886,0.00005365594,0.01408682,0.0001187699,0.0001707431,0.00006576625,0.0009696115,0.00006548613],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009207245,"about_ca_system_score_gemma":0.02810963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00176073,"about_ca_topic_score_gemma":0.0003347469,"domain_scores_codex":[0.9955902,0.001124432,0.001328379,0.0002079846,0.001196641,0.0005523414],"domain_scores_gemma":[0.9977739,0.0006717114,0.0002756914,0.0003192039,0.0004364541,0.0005230439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002799059,0.0001742222,0.01196677,0.002647305,0.00003702844,5.491681e-8,0.01622455,1.546067e-7,9.486095e-7,0.01030799,0.0838318,0.8748064],"study_design_scores_gemma":[0.0001934175,0.0002256055,0.1123534,0.001633822,0.00004992528,0.000004094468,0.01983245,0.004241635,0.000001717595,0.0010307,0.8603089,0.0001243328],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.833114,0.02633169,0.001238707,0.09129612,0.007745747,0.002141209,0.00001352085,0.0002017589,0.03791727],"genre_scores_gemma":[0.9819302,0.0009928872,0.0004761962,0.001595445,0.0008943108,0.0005735254,0.0001193414,0.00001512022,0.01340301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8746821,"threshold_uncertainty_score":0.9774001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1404533257516822,"score_gpt":0.6141640367578992,"score_spread":0.473710711006217,"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."}}