{"id":"W4404334239","doi":"10.2196/53483","title":"Status of Digital Health Technology Adoption in 5 Vietnamese Hospitals: Cross-Sectional Assessment","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wellcome Trust","keywords":"Preprint; Cross-sectional study; Vietnamese; Environmental health; Medicine; Computer science; World Wide Web","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":[0.002442444,0.0002052383,0.0002522399,0.00161035,0.0006494682,0.00110305,0.0003323561,0.0003473415,0.001703873],"category_scores_gemma":[0.004291854,0.0003367368,0.0004407814,0.001751699,0.0006214094,0.001140842,0.001065083,0.0005808998,0.0001971623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580819,"about_ca_system_score_gemma":0.001533692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01260822,"about_ca_topic_score_gemma":0.01443971,"domain_scores_codex":[0.9987301,0.0002601672,0.0002811434,0.0001810644,0.0002720736,0.000275499],"domain_scores_gemma":[0.9939581,0.001082863,0.002408011,0.0001809104,0.001356839,0.00101327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000217378,0.0000856128,0.9951397,0.00004644896,0.00001684749,0.00006615606,0.002785292,0.00002637423,0.0001074678,0.00003442835,0.00005661602,0.001613258],"study_design_scores_gemma":[0.00000251626,0.0002862934,0.9811847,0.00004065793,0.00001355588,0.0001284893,0.01768617,0.0001316774,0.0001342749,0.00001187056,0.0003708524,0.000009007157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993563,0.00006201676,0.00004914846,0.00004134762,0.000001193107,0.0000360509,0.0001773713,0.000001529342,0.0002750253],"genre_scores_gemma":[0.9994703,0.00007013364,0.0001096477,0.00002998659,0.000001324569,0.00004102795,0.0001616674,7.786412e-7,0.0001152283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01260822,"threshold_uncertainty_score":0.02506971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1322148540167129,"score_gpt":0.6005786088228723,"score_spread":0.4683637548061594,"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."}}