{"id":"W2909967241","doi":"10.2196/12630","title":"An Assessment of the Interoperability of Electronic Health Record Exchanges Among Hospitals and Clinics in Taiwan","year":2019,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Health records; Electronic health record; Health information exchange; Medicine; Health care; Medical emergency; Semantic interoperability; Medical record; Family medicine; World Wide Web; Computer science; Health information","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":[0.01406669,0.0002948621,0.0003133071,0.004647586,0.0004924829,0.002015198,0.0009874169,0.0006848283,0.0006531009],"category_scores_gemma":[0.07183942,0.0002964264,0.0008341176,0.003977435,0.0006713271,0.002687399,0.001687567,0.0005502289,0.000133559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543811,"about_ca_system_score_gemma":0.001282882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005231663,"about_ca_topic_score_gemma":0.003395642,"domain_scores_codex":[0.986679,0.005365877,0.003716504,0.001202007,0.002479094,0.0005574896],"domain_scores_gemma":[0.9030362,0.04515067,0.03165722,0.007255164,0.01096667,0.001934056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001030796,0.0001003947,0.9867899,0.00003843382,0.0001088422,0.0001786021,0.002304405,0.0004273829,0.0004636426,0.0000664789,0.00006928804,0.00934945],"study_design_scores_gemma":[0.000007012826,0.0002117956,0.9943659,0.0000208718,0.00004537069,0.0002712971,0.00235494,0.002097429,0.0002685364,0.00004487962,0.0002997085,0.00001226715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990087,0.00006491937,0.0003304854,0.0000587661,0.00000173202,0.00003066606,0.0001075191,0.00001259672,0.0003845841],"genre_scores_gemma":[0.9991731,0.00003160855,0.0003814499,0.00001170415,0.00000446378,0.00002353298,0.0003102278,0.000004290663,0.0000596787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01406669,"threshold_uncertainty_score":0.07439262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.026970451855702,"score_gpt":0.4688375300343041,"score_spread":0.4418670781786021,"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."}}