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Record W3014777806 · doi:10.14740/cii.v0i0.95

Brucellar Spinal Epidural Abscess and Spondylodiscitis in Lumbar Spine

2020· article· en· W3014777806 on OpenAlexvenueno aff
İhsan Canbek, Hakan Ak

Bibliographic record

VenueClinical Infection and Immunity · 2020
Typearticle
Languageen
FieldVeterinary
TopicBrucella: diagnosis, epidemiology, treatment
Canadian institutionsnot available
Fundersnot available
KeywordsSpondylodiscitisMedicineEpidural abscessLumbarAbscessComplicationSurgerySpondylitisSpinal epidural abscessBack painLumbar spinePathology

Abstract

fetched live from OpenAlex

Brucellosis is an endemic zoonosis in Turkey and may involve many systems. Musculoskeletal involvement is the most commonly affected site in this infection. Diagnosis may be difficult due to non-specific symptoms. Spondylodiscitis is the most important clinical form. Delay in diagnosis and treatment may lead to abscess formation in patients with spondylodiscitis. Abscess formation is a rare complication and may lead to sudden onset of neurological deficits due to mass effect. In this report, we present a spinal epidural abscess in a 36-year-old woman with spondylodiscitis in lumbar spine. Patient attended with acute onset of muscle strength and treated with surgery. Clin Infect Immun. 2020;5(1):7-9 doi: https://doi.org/10.14740/cii95

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.

How this classification was reachedexpand

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.838

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.241
GPT teacher head0.455
Teacher spread0.214 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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