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Record W2063626163 · doi:10.1159/000122357

Neurosecretory Activity within Suprachiasmatic Neurons of the Female Rabbit Following Castration

2008· article· en· W2063626163 on OpenAlexaff
R. E. Clattenburg, Donald G. Montemurro, J. Bruni

Bibliographic record

VenueNeuroendocrinology · 2008
Typearticle
Languageen
FieldNeuroscience
TopicNeuropeptides and Animal Physiology
Canadian institutionsHealth Sciences Centre
Fundersnot available
KeywordsInternal medicineOvariectomized ratEndocrinologyBiologyNeuronUltrastructureCastrationHormoneHypothalamusNeuroscienceAnatomyMedicine

Abstract

fetched live from OpenAlex

The effects of ovariectomy on the ultrastructure of neurons within the SCH nuclei of the rabbit were investigated. All SCH neurons of the intact controls were similar in that they showed no morphological evidence of enhanced neurosecretory activity. In contrast, two distinct types of neurons were present within the SCH nuclei of the ovariectomized animals. The small, Type I neurons were ultrastructurally identical to the SCH neurons of the intact controls. The larger, Type II neurons, on the other hand, clearly presented structural evidence for elevated intraneuronal synthesis. To ensure that the changes which characterized the Type II neurons were due, at least in part, to the removal of ovarian steroids following ovariectomy and not to surgical stress alone, the SCH nuclei of laparotomized rabbits were also studied. Although the same two neuron types were observed, the number of Type II neurons in the laparotomized controls was significantly smaller (p smaller than 0.001) than the number in the ovariectomized group. These findings suggest that Type II neurons probably represent a functional state of the smaller, non-active neurons of the intact controls. In addition, the ultrastructural features that distinguish type II neurons are positively related to the endocrine state of the rabbit and, therefore, may represent the hypothalamic synthesis of the releasing hormones that control is gonadotropic activity.

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)0.001
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 score0.141
Threshold uncertainty score0.785

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.062
GPT teacher head0.267
Teacher spread0.205 · 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.

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

Citations6
Published2008
Admission routes1
Has abstractyes

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