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Record W4415792174 · doi:10.1177/10406387251387786

Comparison of the bone marrow composition in samples from rib, ilium, sternum, and humerus of dogs

2025· article· en· W4415792174 on OpenAlexafffund
Gabriella Diamantino, Janet Beeler‐Marfisi, Robert A. Foster, William Sears, Alice Defarges, Dorothee Bienzle

Bibliographic record

VenueJournal of Veterinary Diagnostic Investigation · 2025
Typearticle
Languageen
FieldMedicine
TopicHematological disorders and diagnostics
Canadian institutionsUniversity of Guelph
FundersOVC Pet TrustNatural Sciences and Engineering Research Council of CanadaOntario Veterinary College, University of Guelph
KeywordsHumerusBone marrowSternumRib cageBiopsyComposition (language)

Abstract

fetched live from OpenAlex

Bone marrow (BM) samples in dogs are typically acquired from hematopoietically active trabecular BM at appendicular skeletal sites, such as the proximal humerus and femur, or axial skeletal sites, such as pelvis, sternum, and rib. Suitability for in vivo biopsy varies by site, but equivalency of BM composition at different sites is uncertain. We sought to determine whether the composition of BM is comparable in humerus, ilium, rib, and sternum. Samples from each site were obtained within 24 h after death from 30 dogs with spontaneous disease submitted for postmortem examination. Tissues were fixed in acetic acid–zinc–formalin, demineralized with EDTA, and assessed by 4 independent raters for hematopoietic cellularity, granulocytic:erythrocytic (G:E) cell ratio, megakaryocyte (MKC) number, and presence of hemosiderin. Statistical analysis showed lower cellularity, MKC number, and hemosiderin in ilium than in rib, higher cellularity in rib and sternum than in humerus and ilium, and lower G:E cell ratio in rib than in humerus ( p < 0.05). Analysis of covariance indicated that most differences between sites were attributable to individual animal variation rather than site or rater. Differences overall were of small magnitude, and values for each parameter were similar to those reported in healthy younger dogs. We concluded that samples from any of the 4 sites are suitable to approximate composition of BM at the other sites.

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)0.002
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 score0.038
Threshold uncertainty score0.307

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.051
GPT teacher head0.335
Teacher spread0.284 · 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
Published2025
Admission routes2
Has abstractyes

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