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Record W1988605630 · doi:10.1242/jeb.049981

DINOSAURS WERE NO LAZY BONES!

2011· article· en· W1988605630 on OpenAlexaffabout
Jessica U. Meir

Bibliographic record

VenueJournal of Experimental Biology · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEvolution and Paleontology Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCreaturesMetabolic rateForamenFemurBiologyBlood supplyAnatomyBone developmentPhysiologyZoologyMedicineSurgeryEndocrinologyPaleontology

Abstract

fetched live from OpenAlex

Were dinosaurs lethargic, cold-blooded creepers or lively, warm-blooded creatures? This controversy has plagued paleobiologists for decades and prompted Roger Seymour at the University of Adelaide and collaborators in Australia, Canada and Germany to employ a novel measurement to investigate the matter: one in our very bones! The nutrient foramen of a bone is an opening through which blood vessels enter, supplying blood to the bone cells inside. These active cells require the oxygen and nutrients in blood to dissolve older bone and to deposit new bone during growth and maintenance (remodelling) throughout life. Seymour wondered whether the size of these entryways might indicate the amount of blood required to sustain the bone. Highly active animals might require more bone maintenance (because of a higher incidence of tiny fractures in bone caused by locomotion) and consequently a greater blood supply.The team measured the nutrient foramen, volume and mass of the femur (the large leg bone crucial for support and locomotion) in 59 mammalian species and 40 reptilian species, ranging in size from mice to elephants and geckos to crocodiles. They then set about assessing how these data relate to body mass and metabolic rate values obtained from previous experiments. The researchers discovered that larger animals have larger bones and larger bone holes, but the holes in mammals are much larger than those of most reptiles of the same body mass.The team also found that the scaling of foramen size is closely related to maximum whole-body metabolic rate during exercise in both mammals and reptiles, though less closely related to basal metabolic rate. This suggests that blood supply through the holes relates to bone maintenance requirements following activity, and that blood flow to bone is about 10 times higher in mammals than in reptiles. This fits with the fact that mammals have much higher metabolic rates during exercise than reptiles, requiring more oxygen to fuel their muscles and other tissues, including the cells responsible for bone remodelling. In addition to a larger nutrient foramen, mammals also benefit from higher blood pressures and blood that can carry more oxygen, all of which contribute to a much larger oxygen supply for mammalian tissues. Interestingly, varanid reptiles, including active hunters like the Komodo dragon and monitor lizards, had a foramen size similar to that of mammals. Varanids are capable of increasing their metabolic rates far above those of other reptiles, filling a niche akin to mammalian predators. Varanids also remodel their long bones, but other living reptiles apparently do not.Next, the researchers took their analysis one step further to fossils from 10 species of dinosaur. They found that dinosaurs have even larger bone holes than mammals (even after correcting the results for body mass differences). This suggests that dinosaurs were highly active and lively, perhaps even more so than mammals! Make no bones about it, this implies that the notion of dinosaurs as sluggish and sloth-like may soon be as extinct as the charismatic creatures themselves. Novel applications of these parameters could also provide insight into activity levels of other living and extinct vertebrates.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.009
Scholarly communication0.0040.006
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.003

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 head0.042
GPT teacher head0.269
Teacher spread0.227 · 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 designBench or experimental
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".

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Citations0
Published2011
Admission routes2
Has abstractyes

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