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Record W4254687688 · doi:10.3138/canlivj_003

Oral Abstracts

2018· article· en· W4254687688 on OpenAlexfundvenueno aff

Bibliographic record

VenueCanadian Liver Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsnot available
FundersErasmus Universitair Medisch Centrum RotterdamAkershus UniversitetssykehusAcademy of Military Medical SciencesUniversity of ThessalyUniversity of BristolLandspítali HáskólasjúkrahúsHospices Civils de LyonSyddansk UniversitetTartu ÜlikoolUniversidade de LisboaAristotle University of ThessalonikiHumanitas UniversityHealth Service ExecutiveUniversiteit GentOdense UniversitetshospitalUniversitat de BarcelonaUniversitair Ziekenhuis GentUniversity of AlbertaUniversity of CyprusUniversity of New South WalesQueen Mary University of LondonNational Institute for Health and Care ResearchKU LeuvenUniversità degli Studi di PadovaFriedrich-Schiller-Universität JenaUniversità degli Studi di MilanoUniversity of Texas Southwestern Medical CenterArizona State University
KeywordsComputer scienceMedicine

Abstract

fetched live from OpenAlex

will be discussed, along with their putative mRNA targets and preliminary target validation. CONCLUSIONS:This study provides a better understanding of the role of exosomal miRNAs in cellto-cell signaling during HCV infection, and serves as a basis to screen for altered exosomal miRNAs in HCV-infected patient sera before and after treatment.This will provide a better understanding of the biological mechanism through which patients develop HCC. Investigating how miR-122 alters the secondary structure of the HCV genome

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.495
Threshold uncertainty score0.706

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.5050.301

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 head0.055
GPT teacher head0.326
Teacher spread0.271 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes2
Has abstractyes

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