{"id":"W4223655014","doi":"10.2196/36709","title":"The Architecture of a Feasibility Query Portal for Distributed COVID-19 Fast Healthcare Interoperability Resources (FHIR) Patient Data Repositories: Design and Implementation Study","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Interoperability; Database; Health informatics; Data exchange; Scalability; Ontology; Query language; Information retrieval; World Wide Web; Health care","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.009557278,0.0001865076,0.0004582488,0.00005969825,0.002389025,0.00002171908,0.0007084365,0.000132375,0.0000691205],"category_scores_gemma":[0.002198167,0.0001247712,0.00004448328,0.0002879316,0.0001837867,0.0001394752,0.001062888,0.001228585,6.429134e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009081382,"about_ca_system_score_gemma":0.003919089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001758319,"about_ca_topic_score_gemma":0.003619542,"domain_scores_codex":[0.9918451,0.003305407,0.002715408,0.0002900077,0.001190865,0.0006532469],"domain_scores_gemma":[0.9934409,0.003406907,0.001195485,0.001140487,0.0002316614,0.0005846077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.002219637,0.0007691707,0.244473,0.008435793,0.0001790243,0.000006546005,0.6643607,0.00003320853,0.000003631162,0.0002717236,0.04744466,0.03180295],"study_design_scores_gemma":[0.003189846,0.004482965,0.007601611,0.00011734,0.00003615504,0.000033443,0.8770723,0.004206595,0.000002517108,0.0003236576,0.1027268,0.0002067633],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660132,0.0001670497,0.01127523,0.005929849,0.0008270579,0.01399356,0.001695883,0.00008368435,0.00001450845],"genre_scores_gemma":[0.9938799,0.00001641123,0.0004320242,0.001340974,0.000150812,0.003339725,0.0008102156,0.00001700036,0.00001290029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2368713,"threshold_uncertainty_score":0.9989097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1100986257737229,"score_gpt":0.4912157816254843,"score_spread":0.3811171558517614,"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."}}