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Avascularity in the cortical bone of small bats as revealed by micro computed tomography (920.3)

2014· article· en· W1555096693 on OpenAlexaff
Isaac Pratt, Ernest G. Walker, David M. L. Cooper

Bibliographic record

VenueThe FASEB Journal · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEvolution and Paleontology Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsBiologyLaminar flowAnatomyLaminar organizationCortical boneEptesicus fuscusMedullary cavityComputed tomographyZoologyMedicine

Abstract

fetched live from OpenAlex

The spatial distribution of vascular canals in cortical bone reflects the mechanical loading conditions present during the formation of the bone. In the flight bones of birds, these canals have a laminar pattern, oriented circumferentially around the medullary cavity. Evidence for this pattern and its relation to torsional loading has thus far come from histological studies, however vascular canals exist in 3D and their cross sections in a 2D slice may vary from their actual 3D morphology. We hypothesized that bats would show the same laminar pattern in their flight bones and that high resolution 3D imaging would better reveal the extent of the cortical network. We used micro‐computed tomography (micro‐CT) to examine the cortical network of two species of bats (Eptesicus fuscus pallidus, Lasiurus cinereus), two species of birds (Tyrannus verticalis, Seiurus aurocapillus), and two species of terrestrial mammals (Mus musculus, Eutamias minimus), all of similar size. Contrary to our expectations we found that the bats had cortices devoid of vascular canals. Compared to the terrestrial mammals, we found that the birds had a reduction in the number of cortical vascular canals present and did not exhibit the anticipated laminar pattern found previously in larger bird species.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.216
Teacher spread0.200 · 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 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
Published2014
Admission routes1
Has abstractyes

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