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Record W4398185909 · doi:10.7326/aimcc.2023.1293

Miliary Tuberculosis Presenting With Meningitis, Tuberculomas, Osteomyelitis, Psoas Abscesses, and Pulmonary Involvement

2024· article· en· W4398185909 on OpenAlexaff
Zoë C Phillips, Ibrahim AlQassas, Petra Famiyeh, Max Silverman, Salman A. Radwi, Stephen W. Hwang

Bibliographic record

VenueAnnals of Internal Medicine Clinical Cases · 2024
Typearticle
Languageen
FieldMedicine
TopicInfectious Diseases and Tuberculosis
Canadian institutionsSt. Michael's HospitalMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsMedicineMiliary tuberculosisMeningitisOsteomyelitisTuberculosisPulmonary tuberculosisAbscessTuberculomaPathologySurgery

Abstract

fetched live from OpenAlex

Tuberculosis (TB) is endemic in many areas of the world and is a leading infectious cause of death in adults globally. Miliary TB can affect multiple organs and systems. This case report describes a patient with miliary TB that affected the central nervous system, lumbar spine, psoas muscles, and lungs. We highlight the diagnosis and management of miliary TB with central nervous system involvement.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.071
GPT teacher head0.394
Teacher spread0.323 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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