{"id":"W2511207473","doi":"10.1109/iacc.2016.31","title":"Semantic Interoperability and Data Mapping in EHR Systems","year":2016,"lang":"en","type":"article","venue":"","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Semantic interoperability; Computer science; Interoperability; Information retrieval; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02376451,0.0006264273,0.0008152688,0.003982238,0.001902877,0.00884037,0.001815917,0.001881243,0.001989131],"category_scores_gemma":[0.04653008,0.0007820026,0.001708855,0.005213566,0.003756996,0.02085689,0.00761311,0.002189206,0.0006150025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001828101,"about_ca_system_score_gemma":0.003113744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003318763,"about_ca_topic_score_gemma":0.001521476,"domain_scores_codex":[0.9694774,0.01815877,0.00304012,0.002290642,0.006156322,0.0008767869],"domain_scores_gemma":[0.9798725,0.01127162,0.001034943,0.00551892,0.002049751,0.0002522507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002373092,0.0002607051,0.006786255,0.0004430173,0.0001377924,0.0005020878,0.003559684,0.05334892,0.004020884,0.6595335,0.002345408,0.2688245],"study_design_scores_gemma":[0.00003529793,0.0001481174,0.002125759,0.0002625125,0.0001029223,0.0005755841,0.002989294,0.2454561,0.01803962,0.7014967,0.02868815,0.00007997457],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02409415,0.000393557,0.9681401,0.001729221,0.00005584024,0.0001930834,0.0001363166,0.0007241507,0.004533547],"genre_scores_gemma":[0.3824485,0.0008612155,0.6125184,0.0004312307,0.00008612967,0.0003106587,0.0009305236,0.0002614821,0.002151975],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02376451,"threshold_uncertainty_score":0.1256802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2205795717055345,"score_gpt":0.4810874278072708,"score_spread":0.2605078561017363,"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."}}