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Record W2327500427 · doi:10.1097/wnp.0b013e3182a73d83

Encephalopathy of Infection and Systemic Inflammation

2013· review· en· W2327500427 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Clinical Neurophysiology · 2013
Typereview
Languageen
FieldMedicine
TopicInfectious Encephalopathies and Encephalitis
Canadian institutionsUniversity HospitalWestern University
Fundersnot available
KeywordsMedicineSepsisDeliriumEncephalopathyEncephalitisSubdural empyemaIntensive care medicineBrain abscessElectroencephalographyIntracranial infectionPediatricsImmunologyAbscessMeningitisInternal medicineSurgeryPsychiatry

Abstract

fetched live from OpenAlex

This review will discuss several intracranial infections and sepsis-associated encephalopathy. Intracranial infections and inflammation of interest to the neurologist and EEG technicians include viral and autoimmune encephalitides; bacterial, fungal, and other meningitides; cerebritis; and brain abscess and subdural empyema. Sepsis-associated encephalopathy refers to a diffuse brain dysfunction secondary to infection that is principally located outside of the central nervous system. It is much more common than all of the intracranial infections put together, at least for adults in Western society. It probably involves a number of mechanisms that are not mutually exclusive and likely vary from patient to patient. Morbidity and mortality are directly related to the severity of SAE. The earliest features of SAE are delirium and mild EEG slowing; it is crucial to recognize these early features and to search for and treat the underlying infection promptly to reduce mortality and morbidity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score0.738

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.084
GPT teacher head0.409
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it