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Record W2318681875 · doi:10.1097/ipc.0000000000000347

TB or Not TB

2015· article· en· W2318681875 on OpenAlexaff
Ming Hao Guo, Susanna Mak, Dina Reiss, Irving E. Salit, Maral Ouzounian

Bibliographic record

VenueInfectious Diseases in Clinical Practice · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBartonella species infections research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineEndocarditisInfective endocarditisBartonellaContext (archaeology)TuberculosisBlood cultureSerologyBartonellosisPathologyMicrobiologyImmunologySurgeryVirologyAntibioticsBartonella henselaeBiology

Abstract

fetched live from OpenAlex

Abstract Bartonella quintana infection is commonly associated with alcohol abuse and homelessness and can be a cause of blood culture-negative infective endocarditis. Bartonella endocarditis has a subacute clinical course and can cause severe valvular disruption with potentially fatal outcomes. Its diagnosis requires a high index of suspicion in the clinical scenario of culture-negative endocarditis and may require serological testing, western blotting, or culture in specialized media. 16S RNA amplification sequencing analysis and histopathological examination may be helpful if a surgical specimen is available. We present a case of blood culture-negative infective endocarditis in the context of active pulmonary tuberculosis; endocarditis caused by Mycobacteria tuberculosis is extremely rare so another cause of the endocarditis was sought. Bartonella quintana was confirmed as the cause by molecular detection done on the vegetation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.149

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0440.008

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 head0.124
GPT teacher head0.469
Teacher spread0.345 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2015
Admission routes1
Has abstractyes

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