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Usage of Novel Analytical Techniques for Treatment of Jamestown Canyon Virus (JCV) Disease-A Review

2023· article· en· W4378740432 on OpenAlexaboutno aff
Gautam Prakash

Bibliographic record

VenueJournal of Immunology and Allergy · 2023
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Vectors
Canadian institutionsnot available
Fundersnot available
KeywordsVirologyVector (molecular biology)Dengue feverDiseaseCanyonTransmission (telecommunications)VirusTest (biology)BiologyMedicineGeographyCartographyInternal medicineEcologyComputer scienceGeneticsGene

Abstract

fetched live from OpenAlex

Jamestown Canyon Virus (JCV) is a vector-borne disease that spreads from the bite of an infected Mosquito to humans and resembles the dengue virus in its transmission mode. This disease is rampant in Upper Midwest regions of the US and some provinces of Canada. Research done previously suggests that the clinical diagnosis of the disease can be accomplished by testing the serum isolated from the blood of patients who test positive for the virus. Real-time RT PCR, a rapid molecular detection test, is still being investigated for its usage in the diagnosing JCV. There are different types of Mosquitoes, namely the Snowmelt Aedes mosquito, a known reservoir of the JCV. But some research studies suggest that RT-PCR could be used primarily to diagnose and survey the co-circulation of the JCV or LACV to the epidemiologists and health policymakers for informed public action.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.048
GPT teacher head0.349
Teacher spread0.302 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2023
Admission routes1
Has abstractyes

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