MétaCan
Menu
← Back to cohort
Record W2776284901 · doi:10.26443/mjm.v3i2.547

The Subnuclear Distribution of 5-HT1A Receptors in the Human Nucleus of the Solitary Tract and Selected Structures of the Caudal Medulla

2020· article· en· W2776284901 on OpenAlexvenueno aff
Christopher F. Spurney, Donald C. Ohuoha, Angela M. Murray, Joel E. Kleinman, Thomas M. Hyde

Bibliographic record

VenueMcGill Journal of Medicine · 2020
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsnot available
Fundersnot available
KeywordsDorsal motor nucleusSolitary tractNucleusReceptorMedulla5-HT4 receptorMedulla oblongataDorsumDorsal raphe nucleusAnatomyAgonistNeuroscience5-HT receptorSolitary nucleusVagus nerveBiologyMedicineInternal medicineCentral nervous systemSerotoninStimulation

Abstract

fetched live from OpenAlex

The distribution of 5-HT1A receptors in the subnuclei of the human caudal nucleus of solitary tract and adjacent structures in the dorsal vagal complex was studied using [3H]8-OH-DPAT, a highly selective 5-HT1A receptor agonist. The highest binding of the labeled ligand was found in the dorsal motor nucleus of the vagus, followed by the medial, intermediate, and subpostremal subnuclei of the nucleus of solitary tract. Previous animal studies suggest an important role for these structures in the regulation of visceral function, particularly for the gastrointestinal and cardiovascular systems. The results of this study suggest the possibility of an analogous role for 5-HT1A receptors in the regulation of these autonomic pathways in humans as well.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0030.000

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 head0.036
GPT teacher head0.279
Teacher spread0.243 · 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 designObservational
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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueMcGill Journal of Medicine→Same topicNeuroscience of respiration and sleep→French-language works237,207→