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Record W180596048 · doi:10.1096/fasebj.20.4.a444-d

Comparative anatomical examination of paranasal sinuses of Egyptian mummies and three distinct human population groups via CT imaging

2006· article· en· W180596048 on OpenAlexaboutno aff
Brent Daniel Rogers, William Lawson, Bradley N. Delman, Anthony J. Reino, Samuel Márquez

Bibliographic record

VenueThe FASEB Journal · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicPaleopathology and ancient diseases
Canadian institutionsnot available
Fundersnot available
KeywordsParanasal sinusesSkullAnatomySinus (botany)Frontal sinusPopulationPaleopathologyBiologyMedicinePathologyZoologyGenus

Abstract

fetched live from OpenAlex

Although the processes and patterns of skull pneumatization are not fully understood, the presence and extent to which these air‐containing spaces (i.e., paranasal sinuses [PNS]) invade the bony elements of the cranium have generated diverse morphologies. Human migratory patterns and their strong association with climatic variables through time and space may explain this diversity. This study examined four multiregional populations of which two are from Egypt but of widely divergent eras. Three Egyptian mummies [EG‐M] from the middle kingdom were CT scanned providing a unique opportunity to investigate the status of PNS anatomy 3,900 years ago and compare it to a contemporary Egyptian [EG] (n=12) population. Inuit [IT](n=10) and Australian Aborigine [AA] (n=26) provide out‐group comparisons, as they represent isolated geographic environments different from that of Egypt. EG‐M and EG frontal sinus (FS) anatomy were diminutive in size with quantitative results showing no significant difference between them. FS differences were found between EG ‐ IT, EG – AA, and IT – AA. Maxillary and ethmoid sinus size values of EG‐M and EG clustered together while IT and AA differed significantly. The multiregional groups exhibited populational specific morphology for their PNS anatomy with respect to their ecogeographic localities generating anatomical differences among IT and AA, while the element of deep time produced only negligible difference among the Egyptian groups.

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)0.000
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 score0.075
Threshold uncertainty score0.343

Codex and Gemma teacher scores by category

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

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 head0.030
GPT teacher head0.257
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 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
Published2006
Admission routes1
Has abstractyes

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