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Record W2785735567 · doi:10.1051/medsci/20183402011

La biogenèse des ARN courts non codants chez les animaux

2018· review· fr· W2785735567 on OpenAlexaff
Lucile Fressigné, Martin J. Simard

Bibliographic record

Venuemédecine/sciences · 2018
Typereview
Languagefr
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsUniversité LavalHôtel-Dieu de Québec
Fundersnot available
KeywordsMolecular biologyPhilosophyHumanitiesBiology

Abstract

fetched live from OpenAlex

In recent years, the discovery of small non-coding RNAs has opened an all new field in molecular biology. Indeed, these non-coding sequences give rise to powerful regulators of gene expression. Nowadays, different types of small non-coding RNAs have been described. Of these, the best-characterized types are microRNAs, piRNAs (Piwi-interacting RNAs) and siRNAs (small interfering RNAs). Because of their fine-tuning important function in the regulation of gene and genome expression, an aberrant expression level of those small non-coding RNAs are associated to several pathologies. While this new research field is attracting attention, many aspects to be discovered. This review focuses on the biogenesis pathways of microRNAs, piRNAs and siRNAs in animals.

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)0.000
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.947
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.010
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.011

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 head0.065
GPT teacher head0.336
Teacher spread0.270 · 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
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

Citations7
Published2018
Admission routes1
Has abstractyes

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