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Record W1998659989 · doi:10.1044/1092-4388(2002/004)

Muscle, Adipose, and Connective Tissue Variations in Intrinsic Musculature of the Adult Human Tongue

2002· article· en· W1998659989 on OpenAlexafffund
Jeri L. Miller, Kenneth L. Watkin, Moy Fong Chen

Bibliographic record

VenueJournal of Speech Language and Hearing Research · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsMcGill University
FundersNational Cancer InstituteNational Institutes of HealthMcGill University
KeywordsAdipose tissueAnatomyConnective tissueTongueMuscle tissueMedicineBiologyPathology

Abstract

fetched live from OpenAlex

The purpose of this investigation was to identify the composition and organization of lingual tissues underlying the histostructural and biomechanical functions of the adult human tongue. The small-scale structures of three intrinsic muscle regions, their principal cells, structural complexities, and differences in underlying tissue composition were compared to other skeletal muscle systems and the results discussed in relation to lingual morphology. Analysis of pixel color distributions determined the percent area concentration of each stained tissue component. Results indicated that muscle content increased from anterior to posterior (p <.0001). Greater adipose (p =.005) and connective tissue (p <.002) concentrations occurred in anterior regions. Dense collagen sheaths and elastic fibers found anteriorly occurred with less magnitude in medial and posterior sites. The unique elastin, collagen, and adipose connective tissue distributions found in intrinsic sampling sites are discussed in terms of understanding lingual biomechanics in both normal and pathologic states.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.890
Threshold uncertainty score0.160

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 studies0.0000.000
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 head0.025
GPT teacher head0.333
Teacher spread0.308 · 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 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".

Quick stats

Citations71
Published2002
Admission routes2
Has abstractyes

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