MétaCan
Menu
Back to cohort
Record W3196854216 · doi:10.1002/vrc2.182

A radiolucent bronchial foreign body in a two‐ and a half‐month‐old Labrador Retriever with acute onset respiratory distress

2021· article· en· W3196854216 on OpenAlexaboutno aff
Chee‐Hoon Chang, Carly A. Patterson

Bibliographic record

VenueVeterinary Record Case Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicForeign Body Medical Cases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLabrador RetrieverForeign bodyBronchoscopyPneumoniaRespiratory distressPuppyRight Main BronchusForeign BodiesAspiration pneumoniaBronchusSurgeryLungInternal medicineRespiratory disease

Abstract

fetched live from OpenAlex

Abstract A two‐ and a half‐month‐old intact male Labrador Retriever was presented to the Texas A&M University Veterinary Medical Teaching Hospital for acute onset respiratory distress with concern for a potential foreign body. Upon intake by the emergency service, the puppy was exhibiting expiratory dyspnoea. Radiographs revealed marked gas distension of the oesophagus and stomach. No radiopaque foreign bodies were identified. Bronchoscopy revealed a dark brown foreign body in the right middle lobe bronchus. The foreign material was pliable and crumbled upon removal attempts with a snare retrieval device. The majority of the foreign body was removed en masse; it most closely resembled faecal material. Three‐view thoracic radiographs performed 1 day post‐endoscopy revealed aspiration pneumonia. The dog was discharged from the hospital with doxycycline, and the pneumonia was nearly resolved at the 1‐week recheck. The dog was sent home with another 2 weeks of doxycycline and made a full recovery at home.

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)0.001
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0070.003
Insufficient payload (model declined to judge)0.0030.002

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 head0.296
Teacher spread0.273 · 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 designCase report
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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueVeterinary Record Case ReportsSame topicForeign Body Medical CasesFrench-language works237,207