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Record W2039855397 · doi:10.1159/000199176

Effect of Truncal Vagotomy on GIP Release Induced by Intraduodenal Glucose or Fat in Dogs

2009· article· en· W2039855397 on OpenAlex
Kenichi Yoshiya, Takehira Yamamura, Yoshio ISHIKAWA, Joji Utsunomiya, Jiro Takemura, Jun Takeda, Yutaka Seino, Hiroo Imura

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDigestion · 2009
Typearticle
Languageen
FieldNeuroscience
TopicNeuropeptides and Animal Physiology
Canadian institutionsnot available
FundersUniversity of British Columbia
KeywordsInternal medicineVagotomyEndocrinologyGastric inhibitory polypeptideVagus nerveBasal (medicine)Plasma glucoseMedicineInsulinGlucagonStimulation

Abstract

fetched live from OpenAlex

In order to elucidate the role of the vagus nerve in the release of gastric inhibitory polypeptide (GIP), mongrel dogs were given a 4-min intraduodenal infusion of 10 g glucose or 5 g soybean oil before and again 1 month after truncal vagotomy (TV). The basal GIP concentrations were significantly elevated after TV. The plasma GIP levels following glucose infusion in the vagotomized dogs were significantly higher than those in the untreated dogs, whereas the GIP levels following fat infusion were not affected by TV. These results suggest that TV influences glucose-induced GIP release but not fat-induced GIP release, indicating that different mechanisms of the vagus nerve may be involved in glucose- and fat-induced GIP secretions.

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.

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)0.001
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 score0.030
Threshold uncertainty score0.383

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.020
GPT teacher head0.285
Teacher spread0.265 · 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