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Record W18583162 · doi:10.1016/j.nlm.2008.05.004

Клиническое значение применения цитофлавинау недоношенных новорожденных с целью коррекции газового состава крови

2012· article· ru· W18583162 on OpenAlexfundno aff
Миткинов Олег Эдуардович, Цыремпилова Аюна Александровна, Голуб Игорь Ефимович

Bibliographic record

VenueВестник Бурятского государственного университета. Медицина и фармация · 2012
Typearticle
Languageru
FieldPharmacology, Toxicology and Pharmaceutics
TopicChemical Reactions and Isotopes
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMedicinePediatrics

Abstract

fetched live from OpenAlex

Rora(sg) mutants with mild cerebellar granule cell degeneration were compared to Grid2(ho) mutants with more severe granule cell degeneration as well as Purkinle cell atrophy for left-right and dark-light discrimination learning tasks in a water-filled T-maze. The acquisition rate of both cerebellar mutants was slowed down during light-dark but not left-right discrimination learning. However, the mutants were impaired in reversal training in both tasks. In contrast, neither mutant differed from controls in passive avoidance learning. These results indicate that mice with cerebellar damage are affected in some instrumental learning tasks and have perseverative tendencies.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0050.005
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0020.004
Science and technology studies0.0030.003
Scholarly communication0.0010.004
Open science0.0040.003
Research integrity0.0060.011
Insufficient payload (model declined to judge)0.0490.021

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 head0.168
GPT teacher head0.475
Teacher spread0.307 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2012
Admission routes1
Has abstractyes

Explore more

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