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Record W4386109118 · doi:10.56808/2985-1130.3258

Suspected malignant mesothelial cells in bronchoalveolar lavage fluid of a dog with respiratory distress

2022· article· en· W4386109118 on OpenAlexaboutno aff
Jun‐Seok Kim, Jimin Oh, Taesik Yun, Yoonhoi Koo, Dohee Lee, Yeon Chae, Byeong‐Teck Kang, Mhan‐Pyo Yang, Hakhyun Kim

Bibliographic record

VenueThe Thai Journal of Veterinary Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicOccupational and environmental lung diseases
Canadian institutionsnot available
FundersMinistry of Science and ICT, South KoreaNational Research Foundation
KeywordsBronchoalveolar lavageMedicineLethargyRespiratory distressPathologyCytologyLungMesotheliomaAnorexiaRespiratory systemLabrador RetrieverProductive CoughMesothelial CellInternal medicineRadiology

Abstract

fetched live from OpenAlex

An 11-year-old neutered female Labrador Retriever presented with a 1-week history of respiratory distress, lethargy and anorexia. On physical examination, the dog exhibited dyspnea with a rapid and shallow breathing pattern. Thoracic radiography showed diffuse nodular or miliary interstitial patterns, which raised suspicion of bacterial, fungal and parasitic infections and metastatic tumors. Bronchoalveolar lavage (BAL) was performed and the culture yielded no growth of infectious agents, including bacteria and fungi. A presumptive diagnosis of pulmonary mesothelioma was made based on malignant mesothelial cells on BAL fluid cytology. Therefore, this is a report identifying suspected pulmonary mesothelioma using BAL fluid in a dog.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.882
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.278
Teacher spread0.255 · 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
Published2022
Admission routes1
Has abstractyes

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