{"id":"W2897631672","doi":"10.2196/10870","title":"Validation and Testing of Fast Healthcare Interoperability Resources Standards Compliance: Data Analysis","year":2018,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Computer science; Conformance testing; Implementation; Health care; Software engineering; Semantic interoperability; Data science; Database; World Wide Web; Standardization; Operating system","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":[0.1606618,0.0008446851,0.0008653121,0.01069679,0.001261599,0.002773398,0.002214981,0.001296126,0.002384985],"category_scores_gemma":[0.3428545,0.0005966406,0.002340905,0.01179348,0.003117829,0.003872942,0.003650825,0.002148246,0.0009215728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004051481,"about_ca_system_score_gemma":0.008152018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005073657,"about_ca_topic_score_gemma":0.00345299,"domain_scores_codex":[0.7704316,0.105126,0.04146978,0.0104516,0.06790777,0.004613213],"domain_scores_gemma":[0.2891182,0.4661661,0.09361581,0.05860138,0.09048657,0.002012083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001316996,0.001659723,0.8883362,0.001176686,0.000601554,0.0001756989,0.007347021,0.00393498,0.001805837,0.003220768,0.004061022,0.08636349],"study_design_scores_gemma":[0.0002467069,0.003773323,0.9279804,0.001080201,0.0003974975,0.0004822653,0.005382711,0.02173814,0.01955964,0.002820836,0.01637498,0.000163258],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9242271,0.0003488208,0.05044452,0.0008881446,0.00004939671,0.005302486,0.01022783,0.0005960969,0.007915592],"genre_scores_gemma":[0.9301488,0.0001253271,0.04834197,0.000400671,0.00003482008,0.01064794,0.009286232,0.0001859227,0.0008282903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1606618,"threshold_uncertainty_score":0.849671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1910867284771592,"score_gpt":0.5154672799794426,"score_spread":0.3243805515022835,"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."}}