{"id":"W4391347376","doi":"10.2196/45209","title":"Electronic Health Record and Semantic Issues Using Fast Healthcare Interoperability Resources: Systematic Mapping Review","year":2024,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Semantic interoperability; Interoperability; Computer science; Ontology; Terminology; Semantic integration; World Wide Web; Resource (disambiguation); Semantic Web; Information retrieval; Data science; Knowledge management; Semantic Web Stack","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.1135356,0.0008479593,0.009572308,0.001829627,0.0005396812,0.0001348763,0.002460629,0.001514324,0.0007779879],"category_scores_gemma":[0.009377246,0.0005197471,0.0009263474,0.00187478,0.0003826552,0.000141614,0.001383816,0.02595024,0.0004321302],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.008725544,"about_ca_system_score_gemma":0.02641111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007329415,"about_ca_topic_score_gemma":0.002429319,"domain_scores_codex":[0.9350196,0.04457543,0.01061286,0.001064477,0.005458623,0.003269002],"domain_scores_gemma":[0.9856945,0.005119732,0.004123595,0.001148235,0.001653865,0.002260023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00001391253,0.00005015468,0.00001235278,0.7982247,0.0004326535,0.0001443188,0.002875948,4.05223e-9,3.622494e-8,0.0001678091,0.03609596,0.1619821],"study_design_scores_gemma":[0.0001381258,0.0006048088,2.304524e-7,0.5214269,0.0002316786,0.001070485,0.001820424,0.0001197421,6.35801e-9,0.00007525531,0.4743482,0.0001640835],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001567637,0.9702561,0.0001040789,0.02022338,0.002169419,0.006928605,0.00001405868,0.00006029787,0.00008725432],"genre_scores_gemma":[0.0001589208,0.9924862,0.00006638913,0.001274915,0.002760431,0.0003322714,0.000009411636,0.0002125745,0.002698843],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4382523,"threshold_uncertainty_score":0.9997819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3726251166243189,"score_gpt":0.6226832101893892,"score_spread":0.2500580935650703,"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."}}