{"id":"W3103186681","doi":"10.2196/23353","title":"Universal Patient Identifier and Interoperability for Detection of Serious Drug Interactions: Retrospective Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pharmacy; Identifier; Medicine; Health information exchange; Health care; Interoperability; Population; Medical prescription; Medical emergency; Computer security; Business; Internet privacy; Family medicine; Computer science; Nursing; Environmental health; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00797832,0.0003704232,0.0005589566,0.00318182,0.0009979169,0.001361524,0.001198102,0.0008916534,0.002456709],"category_scores_gemma":[0.02814443,0.0008461129,0.001214257,0.003630763,0.001010685,0.001925012,0.001608998,0.001259626,0.0005702355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008596482,"about_ca_system_score_gemma":0.001410052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006016009,"about_ca_topic_score_gemma":0.005119052,"domain_scores_codex":[0.9887207,0.002862383,0.002919396,0.002507011,0.002262781,0.0007277059],"domain_scores_gemma":[0.9513872,0.01002149,0.02658363,0.005901406,0.004662381,0.001443975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004936574,0.00002306101,0.9989384,0.0000253804,0.00003074219,0.00005955435,0.00008516004,0.00001711445,0.00002398451,0.00002827158,0.00008842375,0.0006305962],"study_design_scores_gemma":[0.00001925967,0.0005401211,0.9926172,0.0001457599,0.000227461,0.002510679,0.001275203,0.0008329659,0.0002831456,0.00009799604,0.001421036,0.00002910037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994809,0.001106266,0.00114295,0.0000666468,0.00001477755,0.0001606788,0.001732572,0.00001481943,0.0009521864],"genre_scores_gemma":[0.9979741,0.0002841245,0.0006597177,0.00008734685,0.00001505051,0.00008916055,0.0007883797,0.000009379278,0.00009272752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00797832,"threshold_uncertainty_score":0.04219389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03372243450602033,"score_gpt":0.4057751859100328,"score_spread":0.3720527514040124,"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."}}