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Record W4401812283 · doi:10.15381/rivep.v35i3.28276

Efusión pleural en cachorro Labrador Retriever. Reporte de caso

2024· article· en· W4401812283 on OpenAlexaboutno aff
B. Vanegas-Alonso, Fernando Gómez-Parra, X. Jaramillo-Chaustre

Bibliographic record

VenueRevista de Investigaciones Veterinarias del Perú · 2024
Typearticle
Languageen
FieldVeterinary
TopicAnimal health and immunology
Canadian institutionsnot available
Fundersnot available
KeywordsLabrador RetrieverGeographyMedicineSurgery

Abstract

fetched live from OpenAlex

The therapeutic approach of a Labrador Retriever canine patient who arrives at the clinic with respiratory difficulty, orthopneic position and abdominal pain is described. Paraclinical tests are performed such as a hemo-leucogram, finding a decrease in the red line and a marked leucocytosis. In the radiographic projections, an increase in the density of the right hemithorax is seen and the presence of free fluid is confirmed by ultrasonography in the intercostal window. A thoracentesis is performed to determine the type of fluid and its subsequent evacuation from the cavity.

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)0.004
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 score0.010
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0050.002
Scholarly communication0.0030.003
Open science0.0020.003
Research integrity0.0100.006
Insufficient payload (model declined to judge)0.0040.002

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 head0.068
GPT teacher head0.358
Teacher spread0.290 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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