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Record W2371102495

Intervention of Ershuping Keli on rat model with sexual precocity

2015· article· en· W2371102495 on OpenAlexaff
LI Shu-pin

Bibliographic record

VenueBeijing Journal of Traditional Chinese Medicine · 2015
Typearticle
Languageen
FieldMedicine
TopicHealthcare and Venom Research
Canadian institutionsCentre for Drug Research and Development
Fundersnot available
KeywordsMedicineEstrous cycleStatistical significanceUterusSex hormone-binding globulinPhysiologyInternal medicineGynecologyEndocrinologyHormone
DOInot available

Abstract

fetched live from OpenAlex

Objective To observe the intervention of Ershuping( ESP) Keli on rat model with sexual precocity. Methods 32 SD rats were randomly divided into a normal control group,a model control group,a high-dosage ESP group and a low-dosage ESP group according to the weight. The rat models with true sexual precocity were made by subcutaneously injecting N-Methyl-DL-aspartic acid. At the same time,the high-dosage and low-dosage ESP groups received 35. 42 and 17. 71 g / kg Ershuping Keli respectively with intragastric administration once a day. The normal control group and model control group were given deionized water with intragastric administration. The vaginal opening,the appearing time of the first Diestrus,sex organ index,and the contents of serum E2,LH and FSH were compared. Results Vaginal opening and the first Diestrus showed significantly delayed,uterus and ovary index decreased in two ESP groups,and the difference had statistic significance( P 0. 05); serum sexual hormones also showed a certain decreased trend,but the difference had no statistic significance( P 0. 05) compared with the model group. Conclusion Ershuping Keli has certain curative effect on sexual precocity in rat model.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.165
Threshold uncertainty score0.361

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0000.001
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 head0.235
GPT teacher head0.414
Teacher spread0.179 · 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 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

Citations0
Published2015
Admission routes1
Has abstractyes

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