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Record W2117671436 · doi:10.1097/inf.0b013e31820b583d

Drug-resistant Tuberculosis

2011· review· en· W2117671436 on OpenAlexafffund
Mona Al-Dabbagh, Keswadee Lapphra, Rumi McGloin, Kelsey Inrig, H. Simon Schaaf, Ben J. Marais, Laura Sauvé, Ian Kitai, Tobias R. Kollmann

Bibliographic record

VenueThe Pediatric Infectious Disease Journal · 2011
Typereview
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsChildren's & Women's Health Centre of British ColumbiaUniversity of TorontoSickKids FoundationUniversity of British ColumbiaHospital for Sick Children
FundersCanadian Institutes of Health Research
KeywordsTuberculosisMedicineDrugMycobacterium tuberculosisDrug resistant tuberculosisIntensive care medicineDrug resistanceAdverse effectExtensively drug-resistant tuberculosisPharmacotherapyPharmacologyInternal medicineMicrobiologyPathologyBiology

Abstract

fetched live from OpenAlex

Drug-resistant Mycobacterium tuberculosis (TB) infection represents a serious and growing problem. For patients infected or suspected of being infected with multidrug or extensively drug-resistant TB, several medications have to be given simultaneously for prolonged periods. Here, we review the literature on treatment and monitoring of adverse effects of pediatric drug-resistant TB therapy in a high resource, low TB burden setting.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.681
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.041
GPT teacher head0.344
Teacher spread0.304 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations53
Published2011
Admission routes2
Has abstractyes

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