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Record W2326545597 · doi:10.1155/2004/326964

The Management of Chronic Viral Hepatitis: A Canadian Consensus Conference 2004

2004· article· en· W2326545597 on OpenAlexaffabout
Morris Sherman, Vincent G. Bain, Jean‐Pierre Villeneuve, Robert P. Myers, Curtis Cooper, Steven R. Martin, Catherine Lowe

Bibliographic record

VenueCanadian Journal of Infectious Diseases and Medical Microbiology · 2004
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsQueen's UniversityUniversity of OttawaUniversity of CalgaryUniversité de MontréalUniversity of AlbertaUniversity of Toronto
Fundersnot available
KeywordsMedicineLamivudineViral hepatitisCoinfectionHepatitis BPublic healthAdefovirChronic hepatitisFamily medicineHepatitisHealth careImmunologyHuman immunodeficiency virus (HIV)VirusNursingPolitical science

Abstract

fetched live from OpenAlex

Several government and nongovernment organizations held a consensus conference on the management of acute and chronic viral hepatitis to update previous management recommendations. The conference became necessary because of the introduction of new forms of therapy for both hepatitis B and hepatitis C. The conference issued recommendations on the investigation and management of chronic hepatitis B, including the use of lamivudine, adefovir and interferon. The treatment of hepatitis B in several special situations was also discussed. There were also recommendations on the investigation and treatment of chronic hepatitis C and hepatitis C-HIV coinfection. In addition, the document makes some recommendations about the provision of services by provincial governments to facilitate the delivery of care to patients with hepatitis virus infection. The present document is meant to be used by practitioners and other health care providers, including public health staff and others not directly involved in patient care.

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)0.063
metaresearch head score (Gemma)0.041
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: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.199
Threshold uncertainty score0.860

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0630.041
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0060.009
Science and technology studies0.0070.004
Scholarly communication0.0070.004
Open science0.0110.006
Research integrity0.0100.014
Insufficient payload (model declined to judge)0.0040.001

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 head0.009
GPT teacher head0.260
Teacher spread0.251 · 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

Citations33
Published2004
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Infectious Diseases and Medical MicrobiologySame topicHepatitis C virus researchFrench-language works237,207