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Record W3211885057 · doi:10.1093/pch/pxab073

The management of infants, children, and youth at risk for hepatitis C virus infection

2021· review· en· W3211885057 on OpenAlexaffabout
Ari Bitnun

Bibliographic record

VenuePaediatrics & Child Health · 2021
Typereview
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsMedicineHepatitis C virusTransmission (telecommunications)Psychological interventionPopulationHarm reductionHepatitis CPublic healthPediatricsImmunologyEnvironmental healthVirusPsychiatryNursing

Abstract

fetched live from OpenAlex

Hepatitis C virus (HCV) infection affects 0.5% to 1.0% of the Canadian population. Most paediatric HCV infections are a consequence of vertical transmission or, among youth and young adults, the result of engaging in high-risk behaviours, such as injection drug use and unprotected sexual activity. It is now recommended that all infants, children, and youth with one or more risk factors be screened for HCV infection. Treating chronic HCV infection with direct-acting antivirals has been shown to achieve sustained virologic suppression in 97% to 100% of children as young as 3 years old. Paediatricians and family physicians have an important role in educating youth regarding HCV infection risks and prevention, and in advocating to government and public health authorities for comprehensive harm reduction interventions targeting at-risk youth, accessible treatments, and routine prenatal screening for HCV.

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)0.002
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 score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.037
GPT teacher head0.361
Teacher spread0.324 · 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

Citations8
Published2021
Admission routes2
Has abstractyes

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