{"id":"W4400895718","doi":"10.2196/57853","title":"PCEtoFHIR: Decomposition of Postcoordinated SNOMED CT Expressions for Storage as HL7 FHIR Resources","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SNOMED CT; Computer science; Information retrieval; Database; Data mining; Terminology","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":[0.004334919,0.001245169,0.000756679,0.003262308,0.001040471,0.004970247,0.002282592,0.0009533573,0.01862479],"category_scores_gemma":[0.008932778,0.0008091627,0.002206025,0.002387247,0.001369716,0.005714937,0.004421249,0.001838927,0.008181434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002201278,"about_ca_system_score_gemma":0.003983303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008133906,"about_ca_topic_score_gemma":0.007183054,"domain_scores_codex":[0.9972219,0.0004332676,0.0004868461,0.0005348842,0.001054177,0.0002688706],"domain_scores_gemma":[0.9960361,0.00103692,0.0003375738,0.001620198,0.000831795,0.0001374717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001365191,0.000417527,0.004234474,0.001163429,0.0001645365,0.002070053,0.004763895,0.00878589,0.045219,0.2686731,0.1405508,0.5225922],"study_design_scores_gemma":[0.0002148429,0.0002036831,0.004100601,0.0004627556,0.0001595026,0.001823447,0.001574617,0.09880295,0.1299858,0.1011163,0.6612559,0.0002995755],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008943451,0.0001977346,0.9172971,0.0006369957,0.0002211475,0.0009598619,0.007912675,0.04382466,0.02000631],"genre_scores_gemma":[0.06847128,0.0003389723,0.8750361,0.0006030549,0.0001311877,0.0007445825,0.02927537,0.008715622,0.01668379],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01862479,"threshold_uncertainty_score":0.06230611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198412936748916,"score_gpt":0.3342222578306032,"score_spread":0.3222381284631141,"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."}}