{"id":"W2953749868","doi":"10.2196/15063","title":"Authorship Correction: A Clinical Decision Support Engine Based on a National Medication Repository for the Detection of Potential Duplicate Medications: Design and Evaluation","year":2019,"lang":"en","type":"erratum","venue":"JMIR Medical Informatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clinical decision support system; Computer science; Decision support system; Medicine; Medical emergency; Medical physics; Data mining","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":[0.009555612,0.001152182,0.001104044,0.002211591,0.002827586,0.003573353,0.00276533,0.004982125,0.08843932],"category_scores_gemma":[0.1627206,0.0007192101,0.001239802,0.00206824,0.002091907,0.002011775,0.002692431,0.004907382,0.02806881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003563443,"about_ca_system_score_gemma":0.008935071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01070302,"about_ca_topic_score_gemma":0.01806293,"domain_scores_codex":[0.9884532,0.002340708,0.002179524,0.001110294,0.005336959,0.0005792405],"domain_scores_gemma":[0.8746923,0.04926151,0.003921966,0.006887724,0.06230468,0.002931843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009290565,0.00001766627,0.0002974115,0.0002352306,0.00002208376,0.0005061135,0.00008622593,0.0001080773,0.0001668381,0.001328756,0.9778752,0.01926339],"study_design_scores_gemma":[0.0001672209,0.00008593746,0.001123503,0.0006752518,0.000109503,0.001626821,0.0002209815,0.001426423,0.001711431,0.003095953,0.9896787,0.00007818631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.002287136,0.001147996,0.01413094,0.2082151,0.7467991,0.0002610338,0.01191519,0.00417104,0.01107241],"genre_scores_gemma":[0.1052404,0.006230389,0.08849047,0.2055168,0.1269683,0.001319531,0.0270893,0.01015267,0.428992],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08843932,"threshold_uncertainty_score":0.295859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04033442004054544,"score_gpt":0.3712386117486139,"score_spread":0.3309041917080685,"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."}}