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Record W2138332401 · doi:10.3109/10731190009118584

Artificial Cells Microencapsulated Genetically Engineered<i>E. Coli DH 5</i>Cells for the Lowering of Plasma Creatinine In-Vitro and In-Vivo

2000· article· en· W2138332401 on OpenAlexafffund
Satya Prakash, T. M. S. Chang

Bibliographic record

VenueArtificial Cells Blood Substitutes and Biotechnology · 2000
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsMcGill University
FundersMedical Research Council Canada
KeywordsCreatinineIn vivoIn vitroUremiaGenetically engineeredDialysisMetabolitePharmacologyChemistryInternal medicineMedicineEndocrinologyBiologyBiochemistryBiotechnologyGene

Abstract

fetched live from OpenAlex

High level of plasma creatinine occurs in renal insufficiency, uremia, and other diseases. At present lowering of this metabolite is done by using dialysis and other techniques. In this article, we report the use of artificial cells microencapsulated genetically engineered E. coli DH5 cells for lowering plasma creatinine in-vitro and in-vivo. Result shows that artificial cells were able to lower plasma creatinine in-vitro from 21.80 +/- 1.10 mg/dl to 21.80 +/- 1.10 mg/dl in 60 minutes and to 19.34 +/- 0.60 mg/dl in 3 hours. Result also shows that when given orally on a daily basis, artificial cells microencapsulated genetically engineered E. coli DH5 cells were also able to lower plasma creatinine in rats.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.772

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.010
GPT teacher head0.211
Teacher spread0.201 · 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

Citations15
Published2000
Admission routes2
Has abstractyes

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