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Record W4413148311 · doi:10.18295/2075-0528.1211

The Need for New Anti-Hepatitis C Virus Therapeutic Strategies : Targeting the cellular micro-ribonucleic acids?

2010· article· en· W4413148311 on OpenAlexaff
Elias A. Said

Bibliographic record

VenueSultan Qaboos University medical journal · 2010
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsUniversité de MontréalHôpital Saint-Luc
Fundersnot available
KeywordsMedicineVirologyVirusHepatitis a virusHepatitis virusRNAComputational biologyBioinformaticsBiochemistry

Abstract

fetched live from OpenAlex

Infection with the hepatitis C virus (HCV) is a worldwide problem. Patients with chronic HCV infection who are non-responders to standard therapy represent a growing population within the HCV epidemic.Novel, more efficient and tolerable therapies are urgently needed. This review discusses the recent results showing that targeting miR-122, a micro-ribonucleic acid (MicroRNA) that enhances HCV replication, is a new anti-HCV therapy with a high barrier to resistance.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.896
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.275
Teacher spread0.259 · 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 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
Published2010
Admission routes1
Has abstractyes

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