{"id":"W2420481377","doi":"10.2196/medinform.5185","title":"Evaluating Health Information Systems Using Ontologies","year":2016,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Set (abstract data type); Information system; Data science; Health informatics; Risk analysis (engineering); Management science; Data mining; Knowledge management; Health care; Medicine","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":[0.01760239,0.001134718,0.0006707643,0.01024529,0.001487883,0.006054686,0.001595418,0.001081269,0.002345643],"category_scores_gemma":[0.03834589,0.000422799,0.001970562,0.007266781,0.002200779,0.007307256,0.003289386,0.001144674,0.0003789815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006107546,"about_ca_system_score_gemma":0.005874204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01174182,"about_ca_topic_score_gemma":0.01057677,"domain_scores_codex":[0.9729483,0.01396746,0.00317401,0.001695303,0.007712558,0.0005024525],"domain_scores_gemma":[0.9731413,0.01642524,0.00259089,0.002585627,0.004888392,0.0003685121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001748444,0.0002813927,0.01189718,0.00211175,0.0004536974,0.000512519,0.004340387,0.09536128,0.006169249,0.4205427,0.005835758,0.4523191],"study_design_scores_gemma":[0.0001057644,0.000168609,0.006632491,0.002007371,0.0004805053,0.0004363637,0.003425417,0.4863217,0.0174914,0.3873876,0.09536234,0.0001804946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0169172,0.0006948418,0.9610052,0.0009987369,0.00004693594,0.0009673353,0.0005606746,0.0008322101,0.01797684],"genre_scores_gemma":[0.1431779,0.0005369053,0.8539842,0.00009016755,0.00003074826,0.0004953607,0.0006219212,0.00009362181,0.0009691688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01760239,"threshold_uncertainty_score":0.09309149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2005354457245921,"score_gpt":0.5478727868090796,"score_spread":0.3473373410844875,"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."}}