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Record W3158667560 · doi:10.36106/1833554

A RARE CASE OF CRIMEAN-CONGO HEMORRAGIC FEVER

2021· article· en· W3158667560 on OpenAlexaff
Chintal Vyas, Pankaj Kumar Garg, Chintan S. Tilala, Chirag R. Lashkari

Bibliographic record

VenueINTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH · 2021
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Vectors
Canadian institutionsCégep de Rimouski
Fundersnot available
KeywordsCrimean–Congo hemorrhagic feverMedicineCase fatality rateAcute respiratory distressDisseminated intravascular coagulationRespiratory distressShock (circulatory)DiseaseVirologyDermatologyPediatricsInternal medicineSurgeryEpidemiologyLung

Abstract

fetched live from OpenAlex

Crimean-Congo hemorrhagic (CCHF) fever is a viral hemorrhagic fever caused by the Nairovirus of Bunyaviridae family. The course of illness is often acute and rapidly progressive with symptoms such as fever, Headache, Bodyache, Back ache. As the disease progresses large areas of bruising, uncontrolled bleeding nose and injection sites can occur. In the worst case scenarios complications such as disseminated intravascular coagulation, Shock and Acute respiratory distress syndrome can occur. The fatality of CCHF ranges from 9-40%. The long term effects of CCHF are yet to be studied. The majority of deaths have been reported in duration of 5-14 days of illness.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.156
GPT teacher head0.478
Teacher spread0.322 · 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.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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