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Record W2079776499 · doi:10.14740/jmc.v5i9.1753

Occult Vertebral Osteomyelitis, a Diagnostic Conundrum

2014· article· en· W2079776499 on OpenAlexvenueno aff
Brijesh Patel, Adam Forman, Vilma Drelichman, Michael Marshall

Bibliographic record

VenueJournal of Medical Cases · 2014
Typearticle
Languageen
FieldMedicine
TopicInfectious Diseases and Tuberculosis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVertebral osteomyelitisOsteomyelitisOccultCulpritAbdominal painGold standard (test)ModalitiesRadiologySurgeryPathologyInternal medicine

Abstract

fetched live from OpenAlex

Vertebral osteomyelitis is a well-known but uncommon condition. Typical presenting features include fever, back pain with local tenderness and neurologic symptoms. In absence of these typical findings, vertebral osteomyelitis can be difficult to diagnose. Staphylococcus species are the most common causes. In most cases, inflammatory markers are elevated. Blood cultures can be very useful to identify the culprit organism(s). Though various imaging modalities are available, an MRI is considered gold standard for the diagnosis. Our patient presents with non-specific abdominal pain that masqueraded vertebral osteomyelitis leading to paralysis. J Med Cases. 2014;5(9):505-508 doi: http://dx.doi.org/10.14740/jmc1753w

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)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.317
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.285
Teacher spread0.273 · 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.

Study designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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