MétaCan
Menu
Back to cohort

SCANNING ELECTRON MICROSCOPY OF ALBINO RATS’ HEART

2017· article· en· W2780332581 on OpenAlexaffabout
V Yu Pokotylo, Л. Р. Матешук-Вацеба, I I Shnitsar, С. В. Козлов, Petro Pokotylo

Bibliographic record

VenueClinical anatomy and operative surgery · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Disease and Adiposity
Canadian institutionsLunenfeld-Tanenbaum Research Institute
Fundersnot available
KeywordsScanning electron microscopeAnatomyElectron microscopeSurface structureLeft atriumRight atriumAtrium (architecture)ChemistryMaterials scienceMedicineCrystallographyOpticsSurgeryPhysicsInternal medicineComposite material

Abstract

fetched live from OpenAlex

The morphological features of the inner surface of albino rats’ heart chambers were determined using scanning electron microscopy under conditions of physiological norm. The walls of the left and right ventricles and atria were used as samples for the study. The samples were prepared following the standard procedure. After that, the samples were studied and photographed by FEI XL-30 SEM microscope. The study was provided with Dr. Jeff Wrana laboratory, Lunenfeld-Tanenbaum Research Institute Mount Sinai Hospital and Advanced Bioimeging Center, Toronto. The inner surface of the heart chambers of rats was found to differ by its morphological characteristics depending on their origin – atria or ventricles. Examination of the atrium's inner surface determined that on the surface of the endothelial cells there are numerous filamentary formations, so-called microvilli. In addition, the atrium’s inner surface has a well-expressed relief because of numerous lamellas directed into the chamber. The inner surface of the right and left ventricles is made up by numerous muscular trabeculae and tendinous chords. Their surfaces are corrugated because a lot of folds, pectiniform evaginations, spherical structures and depressions. These experimental data can be used as a morphological base for the experimental research with a purpose to develop new methods of prevention and treatment of heart diseases.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.043
Threshold uncertainty score0.378

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.041
GPT teacher head0.415
Teacher spread0.374 · 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

Citations1
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueClinical anatomy and operative surgerySame topicCardiovascular Disease and AdiposityFrench-language works237,207