{"id":"W2085764445","doi":"10.1371/journal.pone.0085278","title":"Linkage, Evaluation and Analysis of National Electronic Healthcare Data: Application to Providing Enhanced Blood-Stream Infection Surveillance in Paediatric Intensive Care","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hospital for Sick Children; Intensive Care Society; University of Oxford; National Institute for Health and Care Research; NHS Health Scotland","keywords":"Medicine; Gold standard (test); Identifier; Bloodstream infection; Blood stream; Intensive care; Linkage (software); Imputation (statistics); Audit; Bacteremia; Health care; Emergency medicine; Pediatrics; Missing data; Intensive care medicine; Internal medicine; Statistics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004228622,0.00006865121,0.0001432615,0.0001693369,0.00003380948,0.00002159762,0.00007900932,0.00006259888,0.000007059228],"category_scores_gemma":[0.001284746,0.0000774855,0.0000194286,0.0005115375,0.00001324757,0.00001470224,0.00007077982,0.00005877271,0.000002277191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005495079,"about_ca_system_score_gemma":0.0001099703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004214915,"about_ca_topic_score_gemma":0.003302154,"domain_scores_codex":[0.9989836,0.0001128913,0.0002440729,0.0003611357,0.0001861541,0.0001121231],"domain_scores_gemma":[0.9976564,0.00002690668,0.0001285894,0.0002761994,0.0018768,0.0000351297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000009796846,0.0000933698,0.1865543,0.00007023443,0.0001350102,9.031123e-9,0.0002239113,0.00008025499,0.809148,0.00000740974,0.000005338853,0.003672374],"study_design_scores_gemma":[0.0003947882,0.0001667304,0.8239102,0.00002812413,0.0002675556,2.503679e-7,0.0003146921,0.01049226,0.1642001,0.00005794321,0.00001023049,0.0001570227],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982678,0.000369684,0.0003957997,0.0001779073,0.00001131033,0.0007073905,0.00004409489,0.00000846545,0.00001756562],"genre_scores_gemma":[0.9965141,0.000171722,0.0002733445,0.00007258807,0.00005953406,0.0001301385,0.002764033,0.000006165028,0.000008335403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6449478,"threshold_uncertainty_score":0.3159767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0386617469826948,"score_gpt":0.3035097646493432,"score_spread":0.2648480176666484,"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."}}