{"id":"W4317932413","doi":"10.2196/43847","title":"A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung","keywords":"Computer science; Workflow; Usability; Interoperability; Data validation; Database; Data quality; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0175868,0.0001948158,0.000591279,0.0001301307,0.0006426538,0.00003272622,0.0004881831,0.0004437219,0.00009856266],"category_scores_gemma":[0.003713568,0.0001620599,0.00004289582,0.0006195974,0.00009972899,0.0005171497,0.0004934165,0.0008732446,0.0002846374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003192958,"about_ca_system_score_gemma":0.001693311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001147045,"about_ca_topic_score_gemma":0.0003168977,"domain_scores_codex":[0.9938359,0.0008813038,0.003102935,0.0003623268,0.001108652,0.0007089234],"domain_scores_gemma":[0.9950321,0.002199494,0.000697364,0.001069569,0.0004709346,0.0005305125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005440625,0.001039939,0.2854259,0.00524263,0.00012012,0.000001265678,0.01219535,0.00001751595,0.000007098488,0.0007242681,0.3779332,0.3167487],"study_design_scores_gemma":[0.007863652,0.0005513565,0.01165606,0.0003033454,0.00007923423,0.000002368759,0.009629484,0.7324411,0.000007587729,0.0006239302,0.2365573,0.0002846444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5775988,0.0000448781,0.3964694,0.006600214,0.001065966,0.0169509,0.0002706313,0.0006470541,0.0003522496],"genre_scores_gemma":[0.9711884,0.0006741585,0.005153924,0.006172045,0.001999637,0.008306338,0.004939729,0.0001209028,0.001444882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7324235,"threshold_uncertainty_score":0.6608612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1587689639945661,"score_gpt":0.5407924530476688,"score_spread":0.3820234890531027,"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."}}