{"id":"W4409431632","doi":"10.2196/65575","title":"Health Information Exchange Usage in Japan: Content Analysis of Audit Logs","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Health information exchange; Audit; Computer science; Medicine; Data science; Business; World Wide Web; Health information; Health care; Accounting; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003554154,0.0003021352,0.0003878237,0.00676175,0.0004393922,0.001229807,0.0003672146,0.0002330541,0.0005463031],"category_scores_gemma":[0.01550616,0.0002052479,0.0004113286,0.007397508,0.0003554871,0.001260635,0.001064456,0.0002925575,0.0001808671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024726,"about_ca_system_score_gemma":0.00120155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01527821,"about_ca_topic_score_gemma":0.01501535,"domain_scores_codex":[0.9970286,0.0007483892,0.000790033,0.0003751119,0.0008025101,0.0002553023],"domain_scores_gemma":[0.9741834,0.007159015,0.01046059,0.001186137,0.006033448,0.000977384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007481139,0.00004718758,0.9830257,0.0001272047,0.00003246924,0.00007891484,0.001388613,0.0001533666,0.000429003,0.00003998706,0.0008066811,0.013796],"study_design_scores_gemma":[0.000003088899,0.00003846854,0.9952684,0.00002626421,0.00002797424,0.00006707593,0.001598652,0.001803068,0.0002763037,0.00002647762,0.0008537485,0.00001039376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947876,0.0002274536,0.0005310324,0.00008325675,0.000008824576,0.00008190502,0.00350725,0.00004279066,0.0007299367],"genre_scores_gemma":[0.9925801,0.0002585449,0.001522772,0.00004126741,0.00002614363,0.0001309284,0.005064688,0.00001437396,0.000361183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01527821,"threshold_uncertainty_score":0.03037858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07094442161851486,"score_gpt":0.4496130625447908,"score_spread":0.3786686409262759,"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."}}