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Record W2883997578

АНАЛИЗ ЭПИЗООТИЧЕСКОЙ СИТУАЦИИ ПО НОТИФИЦИРУЕМОМУ ГРИППУ ПТИЦ В МИРЕ ЗА 2014 г. И ПЕРВЫЙ КВАРТАЛ 2015 г. НОВЫЕ УГРОЗЫ

2015· article· ru· W2883997578 on OpenAlexaboutno aff
А. В. Баркентин, М. С. Волков, Agron Starova, В. Н. Ирза

Bibliographic record

VenueVeterinary Science Today · 2015
Typearticle
Languageru
FieldMedicine
TopicHuman Health and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsInfluenza A virus subtype H5N1Quarter (Canadian coin)Highly pathogenicAvian influenza virusGeographyNotifiable diseaseVirologyBiologyPopulationVirusEnvironmental healthMedicineArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The following paper provides the analysis of epidemic situation on notifiable avian influenza for 2014and for thefirst quarter of 2015 based on the OIE data.Today the Al situation remains tense due to the spread of AIV subtypes H5N1, H5N2, H5N3, H5N6 and H5N8.The latter became widely spread both in domestic and wild birds starting from 2014. Taking into account spring the upcoming autumn bird migration, the risk of Al virus introduction and spread in the territory of the Russian Federation increases.

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, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, 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 score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.004
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.024

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 head0.099
GPT teacher head0.394
Teacher spread0.295 · 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
Published2015
Admission routes1
Has abstractyes

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