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Pseudo‐affective visceromotor responses and HPA axis activation following colorectal distension in rats with increased cholinergic sensitivity

2004· article· en· W2105802604 on OpenAlexaff
Sigrid Elsenbruch, Li Wang, S. Hollerbach, Manfred Schedlowski, Gervais Tougas

Bibliographic record

VenueNeurogastroenterology & Motility · 2004
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsMcMaster University
Fundersnot available
KeywordsDistensionCorticosteroneInternal medicineEndocrinologyCholinergicMedicineHormone

Abstract

fetched live from OpenAlex

We analysed visceromotor (VMR) and corticosterone responses to colorectal stimuli under control conditions and following acoustic stress in rats selectively bred for increased sensitivity to cholinergic agonists, the Flinders Sensitive Line (FSL) rats, compared with Flinders Resistant Line (FRL) rats. FSL rats demonstrated a significant VMR response at the smallest distension pressure, whereas no response was evident in FRL controls. FSL rats also demonstrated enhanced VMR responses at both larger distension levels compared with FRL rats. Colorectal distension (CRD) produced significant increases in serum corticosterone levels, which were comparable in FRL and FSL. Noise stress induced divergent corticosterone responses in FRL and FSL, but did not affect VMR to CRD in either group. These data suggest that FSL rats show altered VMR responses to CRD and disturbed hypothalamic-pituitary-adrenal axis responses to acute stress.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.009
GPT teacher head0.243
Teacher spread0.234 · 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

Citations12
Published2004
Admission routes1
Has abstractyes

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