{"id":"W4312536436","doi":"10.1109/ecbios54627.2022.9945031","title":"Introducing QL4POMR CRUD BFF for Processing IPS Standard Patient Summary Report on FHIR","year":2022,"lang":"en","type":"article","venue":"","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"SOAP; Interoperability; Computer science; Patient care; Metadata; Referral; Patient record; Health care; Software engineering; World Wide Web; Database; Medicine; Medical emergency; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004038893,0.001018559,0.0005867067,0.001890762,0.0007749773,0.004085541,0.002332747,0.001115422,0.01415975],"category_scores_gemma":[0.007602102,0.000745524,0.002146793,0.0009320732,0.0011062,0.0032388,0.004695878,0.001953374,0.006656731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001770816,"about_ca_system_score_gemma":0.002623872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01275178,"about_ca_topic_score_gemma":0.007562836,"domain_scores_codex":[0.9966332,0.000592973,0.0004249955,0.000677462,0.001236398,0.0004349297],"domain_scores_gemma":[0.9973431,0.0006449652,0.0001578656,0.001098056,0.0005767223,0.0001792841],"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":[0.00140666,0.0005924564,0.01023699,0.001747208,0.000195172,0.002359346,0.003816301,0.01849839,0.04144754,0.1204226,0.1164422,0.6828351],"study_design_scores_gemma":[0.0003058544,0.0004060616,0.005337337,0.0006647813,0.0001490221,0.002203923,0.001041377,0.1524961,0.08997995,0.0567436,0.690259,0.0004129576],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.006771398,0.0001794776,0.8599382,0.0005667446,0.0001568626,0.001045058,0.003073016,0.1152617,0.01300747],"genre_scores_gemma":[0.1576442,0.0004796795,0.7800599,0.001195275,0.0001173995,0.001024656,0.01633845,0.0181296,0.02501081],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01415975,"threshold_uncertainty_score":0.04736912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05228641953285004,"score_gpt":0.4260058515715423,"score_spread":0.3737194320386923,"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."}}