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<b>Circumventricular Organs: Gateways to the Brain</b> Membrane Properties Of Subfornical Organ Neurons

2001· review· en· W2068929828 on OpenAlexafffund
David L.S. Washburn, Alastair V. Ferguson

Bibliographic record

VenueClinical and Experimental Pharmacology and Physiology · 2001
Typereview
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsQueen's University
FundersMedical Research Council CanadaHeart and Stroke Foundation of Canada
KeywordsSubfornical organCircumventricular organsNeuroscienceSecond messenger systemForebrainBiologyHypothalamusMedullaOsmoreceptorCentral nervous systemChemistryReceptorInternal medicineCell biologyEndocrinologyAngiotensin IIMedicineSignal transduction

Abstract

fetched live from OpenAlex

SUMMARY 1. The subfornical organ (SFO) is a forebrain circumventricular structure that plays an integral role in the regulation of fluid balance by acting as the interface between the circulation and the central nervous system. Thus, changes in the activity of SFO neurons can have significant effects on key regulatory loci involved in autonomic control, such as the hypothalamus and medulla. 2. Circulating messengers that affect SFO neurons do so through receptor‐mediated regulation of the intrinsic ionic conductances expressed by SFO neurons. It is through the coordinated interaction of the complement of voltage‐gated ion channels that SFO neurons are able to produce unique firing patterns and respond specifically to such a wide range of diverse extracellular messengers.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.004

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 head0.142
GPT teacher head0.419
Teacher spread0.278 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations8
Published2001
Admission routes2
Has abstractyes

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