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Record W2030357736 · doi:10.1159/000137245

Composition of Gastric Mucinous Secretion from Heidenhain Pouches of Dogs Treated with Aspirin

2008· article· en· W2030357736 on OpenAlexaff
K. Kowalewski, T. Pachkowski, D.C. Secord

Bibliographic record

VenuePharmacology · 2008
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacological Effects of Natural Compounds
Canadian institutionsAlberta Medical AssociationUniversity of Alberta
Fundersnot available
KeywordsGalactosamineFucosePentagastrinGlucosamineChemistryInternal medicineGalactoseMucusHexosaminesAspirinEndocrinologyAmino acidBiochemistrySecretionGastric acidBiologyMedicine

Abstract

fetched live from OpenAlex

Principal glycoproteins and amino acids of secretions from Heidenhain pouches were studied in control and aspirin-treated dogs in the resting state of fasting and during stimulation with pentagastrin. All samples showed the presence of galactose, galactosamine, glucosamine, glucose, fucose, mannose, uronic acid and sulfate. Galactose and glucosamine were found in equimolar amounts, and the galactose/galactosamine ratio was 2/1. Pentagastrin induced the reduction in concentration of major carbohydrate components and amino acids of gastric mucus. The concentrations of major carbohydrate components and of amino acids of gastric secretions were lower in aspirin-treated animals than in controls.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.011
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.091
GPT teacher head0.392
Teacher spread0.301 · 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.

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

Citations2
Published2008
Admission routes1
Has abstractyes

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