{"id":"W4308772318","doi":"10.2196/40338","title":"Shared Interoperable Clinical Decision Support Service for Drug-Allergy Interaction Checks: Implementation Study","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Health information exchange; Clinical decision support system; Computer science; Cloud computing; Health care; Service (business); Service provider; Semantic interoperability; Process management; Knowledge management; Decision support system; World Wide Web; Business; Operating system","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":[0.006762016,0.0003720313,0.0002893404,0.001017766,0.0006271931,0.001371399,0.001214079,0.0007215363,0.003990146],"category_scores_gemma":[0.00864421,0.0003038531,0.0006348463,0.0008060314,0.0004857509,0.002209604,0.00170501,0.001079775,0.0005983188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002229363,"about_ca_system_score_gemma":0.005646241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009581597,"about_ca_topic_score_gemma":0.004753539,"domain_scores_codex":[0.9961552,0.001434041,0.0003089609,0.0004253734,0.0009678163,0.0007086039],"domain_scores_gemma":[0.9946057,0.001165889,0.0003725037,0.0005455199,0.00203584,0.001274507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003624631,0.03980174,0.2938831,0.002065556,0.0002636096,0.002777909,0.01214521,0.008479333,0.03107669,0.01175473,0.0175634,0.5765642],"study_design_scores_gemma":[0.005414393,0.04178732,0.5297879,0.00126292,0.0009539597,0.002876322,0.03811246,0.2152674,0.0539757,0.002614904,0.1074953,0.0004513394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744083,0.00020235,0.01506519,0.000828318,0.00005607008,0.002942616,0.0005359119,0.0006976767,0.005263443],"genre_scores_gemma":[0.9568582,0.0003139871,0.03769962,0.0003846342,0.0000270314,0.001391087,0.001376463,0.0000470286,0.001902097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009581597,"threshold_uncertainty_score":0.03576136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1151735562222348,"score_gpt":0.5555672529922094,"score_spread":0.4403936967699746,"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."}}