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Record W2005868475 · doi:10.1097/inf.0b013e31829be1bb

Necrotizing Pneumonia in Children

2013· article· en· W2005868475 on OpenAlexaff
C. Lemaître, François Angoulvant, Flaviu Gabor, Juliette Makhoul, Stéphane Bonacorsi, J. Naudin, Marianne Alison, Albert Faye, Édouard Bingen, Mathie Lorrot

Bibliographic record

VenueThe Pediatric Infectious Disease Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicPneumonia and Respiratory Infections
Canadian institutionsCanadian Society of Microbiologists
Fundersnot available
KeywordsFusobacterium nucleatumPneumoniaMedicineChest radiographStreptococcus pneumoniaePanton–Valentine leukocidinFusobacteriumCommunity-acquired pneumoniaStaphylococcus aureusIntensive care medicineMicrobiologyInternal medicineRadiographySurgeryMethicillin-resistant Staphylococcus aureusBacteriaAntibioticsBiology

Abstract

fetched live from OpenAlex

Forty-one children hospitalized for necrotizing pneumonia were retrospectively analyzed. Necrotizing pneumonia represented 0.8% of community-acquired pneumonia and 6% of hospitalized community-acquired pneumonia. The chest radiograph revealed necrosis on admission in onethird of cases. Twenty-one cases (51%) were documented, including 13 Staphylococcus aureus, all Panton-Valentine leukocidin positive, 7 Streptococcus pneumoniae and 1 Fusobacterium nucleatum.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.005
Threshold uncertainty score0.679

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.005
GPT teacher head0.229
Teacher spread0.224 · 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

Citations90
Published2013
Admission routes1
Has abstractyes

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