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Record W2884545895 · doi:10.6001/biologija.v64i2.3741

Investigation of the tick-borne encephalitis virus in Norway

2018· article· en· W2884545895 on OpenAlexaff
Marina Sidorenko, Jana Radzievskaja, Olav Rosef, Algimantas Paulauskas

Bibliographic record

VenueBiologija · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsFields Institute for Research in Mathematical Sciences
Fundersnot available
KeywordsTick-borne encephalitis virusIxodes ricinusEncephalitisBiologyTickTick-borne encephalitisVirologyVirusVeterinary medicineZoologyMedicine

Abstract

fetched live from OpenAlex

Expansion of the range of Ixodes ricinus ticks further north and to higher altitudes affects the spread of tick-borne encephalitis virus (TBEV) in new territories and increases the risk of human infections. Over the past decade, the number of tick-borne encephalitis (TBE) cases has increased in Norway and parts of the southern coast have been established as endemic. The aims of this study were to confirm the existence of TBEV endemic foci, determine the spread of TBE in different localities of Norway, review and compare relevant published records on the prevalence of TBEV in the different developmental stages and sex of the ticks. Ticks were collected from nine locations along the southern coast of Norway during June-July 2009. For the detection of TBEV-specific RNA, a real-time RT-PCR targeting a part of the 3’ non-coding region of the TBEV genome was used. A total of 1542 ticks grouped in 250 pools were examined and TBEV RNA was detected in 5 pools with overall prevalence of 0.32%.

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)0.000
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 score0.364
Threshold uncertainty score0.815

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.019
GPT teacher head0.240
Teacher spread0.221 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

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