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Record W3194530128 · doi:10.21423/aabppro20133811

Comparison of thoracic ultrasonography with analysis of bronchoalveolar lavage fluid for the diagnosis of subclinical bronchopneumonia in dairy calves

2013· article· en· W3194530128 on OpenAlexaff
T. L. Ollivett, D.F. Kelton, D.V. Nydam, Jeff Caswell, Joanne Hewson, T.F. Duffield, K.E. Leslie

Bibliographic record

VenueAmerican Association of Bovine Practitioners Conference Proceedings · 2013
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsBronchoalveolar lavageSubclinical infectionMedicineBronchopneumoniaAtelectasisGold standard (test)PathologyLungRespiratory systemPneumoniaInternal medicine

Abstract

fetched live from OpenAlex

The pathophysiology of bronchopneumonia (BP) is such that peripheral airways fill with neutrophilic exudate, which results in pulmonary consolidation and atelectasis. This exudate increases the proportion of neutrophils in bronchoalveolar lavage fluid (BALF), with proportions ranging from 10% to 20% suggestive of BP. Pulmonary ultrasonography (US), which differentiates between aerated and nonaerated lung tissue, has good sensitivity (Se = 85%) and specificity (Sp = 98%) for detection of BP in clinically ill calves and might be useful for diagnosis of subclinical BP. The purpose of this study was to compare thoracic US with BALF as a means to diagnose subclinical BP in dairy calves, with gross postmortem examination used as the gold standard.

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)0.004
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 score0.009
Threshold uncertainty score0.546

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.379
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 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

Citations0
Published2013
Admission routes1
Has abstractyes

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