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Record W1482083084 · doi:10.1159/000158189

Orientation of Nuclei as Indicators of Smooth Muscle Cell Alignment in the Cerebral Artery

2008· article· en· W1482083084 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

VenueBlood Vessels · 2008
Typearticle
Languageen
FieldMedicine
TopicComparative Animal Anatomy Studies
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsHaematoxylinTunica mediaAnatomySmooth muscleLong axisOrientation (vector space)CytoplasmNucleusCerebral arteriesBiophysicsChemistryMaterials scienceBiologyStainingPathologyGeometryMedicineMathematicsInternal medicine

Abstract

fetched live from OpenAlex

Geometric measurements were made of the nuclei of the muscle cells of the tunica media of human intracranial arteries. The nuclei measured 37 +/- (SD) 6.4 micron in length, and 2.0 /+- (SD) 0.83 micron average width and have a number density of 10(5) nucei/mm(3) (number per unit volume of tunica media). From the work of others it was known that the nuclei are centrally located within the cytoplasm of the muscle cell; because of this we have used the nuclei as indicators of alignment of the muscle cells themselves, making measurements from light micrographs of arterial sections stained with haematoxylin and eosin. On average, the nuclei were oriented at an angle that was not significantly different from a zero-degree pitch for the five sections analyzed in detail.

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)0.000
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 score0.049
Threshold uncertainty score0.249

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 head0.022
GPT teacher head0.273
Teacher spread0.251 · 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