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Record W1993249107 · doi:10.1159/000180465

A Correlated Study of Kidney Function and Ultrastructure in Potassium-Depleted Rats

2008· article· en· W1993249107 on OpenAlexaff
Kiriti Sarkar, David Z. Levine

Bibliographic record

Venue˜The œNephron journals/Nephron journals · 2008
Typearticle
Languageen
FieldMedicine
TopicElectrolyte and hormonal disorders
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineUltrastructurePotassiumKidneyRenal functionNephrologyKidney diseaseInternal medicinePathologyEndocrinologyPhysiology

Abstract

fetched live from OpenAlex

In order to provide an ultrastructural description of kaliopenic nephropathy in rats, potassium deficiency uncomplicated by chloride depletion or extracellular fluid volume expansion was induced by dietary means alone. After 12 days, serum and muscle analyses demonstrated severe potassium depletion, while urine concentrating ability was markedly impaired. Although micropuncture techniques demonstrated that net fluid transport in proximal tubules was normal, the epithelial cells showed the following morphological alterations: electron-lucent vacuoles and lysosome-like dense bodies were numerous, focal cytoplasmic degradation was present, and intercellular spaces were dilated in many proximal tubules. Medullary cell droplets were characterized by fusion, massive enlargement with sequestration of cytoplasmic components such as ribosomes, and occasional extrusion through ruptured plasma membranes--features not previously reported.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.268
Teacher spread0.248 · 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 source (direct Gemma or distilled Codex), 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

Citations13
Published2008
Admission routes1
Has abstractyes

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