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Modularity in the skull and cranial vasculature of laboratory mice: implications for the evolution of complex phenotypes

2011· article· en· W1481277852 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEvolution & Development · 2011
Typearticle
Languageen
FieldMathematics
TopicMorphological variations and asymmetry
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBiologyModularity (biology)SkullPhenotypeEvolutionary biologyMorphometricsEpigeneticsNatural selectionNeuroscienceSelection (genetic algorithm)AnatomyEcologyGeneticsGene

Abstract

fetched live from OpenAlex

The generation of coordinated morphological change over time results from the interconnectedness of evolution and development. The modular architecture of development results in varying degrees of integration and independence among parts of the phenotype, and facilitates the production of phenotypic variation in complex anatomical units composed of multiple tissue types. Here we use geometric morphometrics to investigate modularity in the arterial Circle of Willis (CW) and skull of the CD-1 laboratory mouse. We contrast a hypothesis of tight integration between these tissues with a hypothesis of more modular organization, to determine the level at which natural selection works to generate coordinated change. We report a complex pattern of covariation that indicates that the skull and CW are highly integrated and developmentally linked. Further, we report higher levels of fluctuating asymmetry in the CW than in the skull, suggesting a greater potential for lability in this tissue. These results suggest that epigenetic interactions or genetic influences on regional development are more important determinants of covariation structure than the factors that produce covariation within individual tissues or organ systems.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.897
Threshold uncertainty score0.197

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.065
GPT teacher head0.286
Teacher spread0.221 · 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