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Record W2079768114 · doi:10.1159/000198126

Effect of Early Weaning of the Neonatal Rat on Pancreatic Acinar Cell Responsiveness to Urecholine

2009· article· en· W2079768114 on OpenAlexaff
Yvan Dumont, Louise Larose, Guy G. Poirier, Jean Morisset

Bibliographic record

VenueDigestion · 2009
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsAmylaseWeaningChymotrypsinInternal medicineEndocrinologySecretionLipaseBasal (medicine)BiologyStimulationPancreasTrypsinEnzymeMedicineBiochemistry

Abstract

fetched live from OpenAlex

Pancreatic response to urecholine was studied in rats weaned prematurely on the morning of their 13th, 15th, 17th and 19th day and killed 2 1/2 days later. In pups kept with their mother and weaned at 21 days, amylase chymotrypsin and lipase concentrations increased gradually. Weaning after 12, 14 and 16 complete days is associated with significant increases in pancreatic amylase and chymotrypsin concentrations; if it occurs after 16 and 18 days, a significant delay in lipase development is observed. Premature weaning is associated with modifications in the basal release of the three enzymes and their secretion in response to urecholine. Amylase and chymotrypsin secretions are increased if weaning occurred before day 18. Lipase secretion, however, is decreased in rats weaned after 16 days. If, however, secretion is expressed in percentages, as the amount of enzyme released over the total tissue content, premature weaning does not seem to modify the capacity of the tissue to secrete enzymes under basal and urecholine stimulation. It thus seems that solid food intake as early as 12 days is not an important factor in the maturation of the pancreatic response to urecholine.

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)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.259
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

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

Citations7
Published2009
Admission routes1
Has abstractyes

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