MétaCan
Menu
Back to cohort
Record W2491021072 · doi:10.1007/978-1-62703-020-5_6

Osmoregulatory Circuits in Slices and En Bloc Preparations of Rodent Hypothalamus

2012· book-chapter· en· W2491021072 on OpenAlexaff
Tevye Jason Stachniak, Jessica R. Sudbury, Eric Trudel, Katrina Y. Choe, Sorana Ciura, Charles W. Bourque

Bibliographic record

VenueNeuromethods · 2012
Typebook-chapter
Languageen
FieldNeuroscience
TopicCircadian rhythm and melatonin
Canadian institutionsMontreal General HospitalMcGill University Health Centre
Fundersnot available
KeywordsHypothalamusVasopressinInternal medicineOxytocinEndocrinologySupraoptic nucleusLamina terminalisBiologyBiological neural networkNeuroscienceChemistryMedicine

Abstract

fetched live from OpenAlex

Osmoregulatory neural networks in the mammalian hypothalamus are responsible for keeping plasma osmolality near a constant set point. This process involves primary osmosensory neurons located in the organum vasculosum lamina terminalis (OVLT) and effector neurons located elsewhere in the hypothalamus and in other parts of the brain. Hypothalamic effector neurons include vasopressin (VP)- and oxytocin (OT)-releasing magnocellular neurosecretory cells (MNCs) in the supraoptic (SON) and paraventricular nuclei. Osmotically induced changes in action potential discharge by MNCs cause proportional changes in VP and OT release into the blood to modulate water and sodium excretion at the kidney. This osmotic regulation of firing rate in MNCs plays a critical role in the maintenance of body fluid balance. In this chapter, we describe spontaneously active in vitro preparations of rodent hypothalamus that have been developed for the specific purpose of studying how osmosensory neurons in the OVLT and other hypothalamic structures regulate MNCs in the SON.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.472
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.059
GPT teacher head0.304
Teacher spread0.245 · 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

Citations5
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueNeuromethodsSame topicCircadian rhythm and melatoninFrench-language works237,207