MétaCan
Menu
Back to cohort
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

The research of efficiency of the use Cytoflavin in neuroprotectory therapy with the aim of correction of metabolic disturbances has been carried out in a very low and extremely low birth weight neonates (n=20). A study group consisted of 10 infants taking Cytoflavin, 2 ml\kg\day, during the first 5 days of life; 10 premature neonates from a control group had basic therapy. The use of Cytoflavin within the first hours of life promoted the normalization of gas composition of blood and acid-base balance.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.001

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; a candidate call from one source (direct Gemma or distilled Codex), 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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueВестник Бурятского государственного университета. Медицина и фармацияSame topicChemical Reactions and IsotopesFrench-language works237,207