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Record W1967805858 · doi:10.1037/0735-7044.121.1.140

Inhibition of nitric oxide synthase within the medial preoptic area impairs pup retrieval in lactating rats.

2007· article· en· W1967805858 on OpenAlexafffund
Gen Surg Service, Barbara Woodside

Bibliographic record

VenueBehavioral Neuroscience · 2007
Typearticle
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNitric oxideNitric oxide synthaseEndocrinologyInternal medicineHypothalamusCentral nervous systemOxytocinVentriclePreoptic areaPsychologyChemistryMedicine

Abstract

fetched live from OpenAlex

Central suppression of nitric oxide (NO) production by administering 250 microg of Nitro-superw--subL-Argenine Methyl Ether (L-NAME), an inhibitor of NO synthase, into the 3rd ventricle disrupts both pup retrieval and maternal aggression in postpartum rats. In these studies, the authors examined the ability of varying doses of L-NAME to produce these effects on maternal behavior. Doses of L-NAME that were shown to be ineffective when injected into the 3rd ventricle were administered bilaterally into the medial preoptic area (MPOA) of rats on Day 4 postpartum. To assess the specificity of L-NAME's effect within the MPOA, the authors bilaterally injected Nitro-superw--subD-Argenine Methyl Ether (D-NAME), an inactive isomer of L-NAME, into the MPOA. When administered intracerebroventricularly, the 2 highest doses of L-NAME used, 250 microg and 200 microg, disrupted retrieval behavior and maternal aggression. Bilateral injections of L-NAME into the MPOA at doses of 20 microg and 40 microg/side also disrupted pup retrieval, and D-NAME injections into the MPOA had no effect on the maternal behaviors measured. All rats in these experiments showed normal maternal behavior 24 hr after drug administration. These results suggest that NO acts within the MPOA to facilitate retrieval behavior.

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)0.001
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.737
Threshold uncertainty score0.594

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.064
GPT teacher head0.362
Teacher spread0.297 · 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
Published2007
Admission routes2
Has abstractyes

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