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Record W4390202517 · doi:10.3138/canlivj-2022-0003

Timing of elimination of hepatitis C virus in Canada's provinces.

2022· article· en· W4390202517 on OpenAlexaffabout
Jordan J. Feld, Marina B. Klein, Yasmine Rahal, Samuel S. Lee, Shawn Mohammed, Alexandra King, Daniel Smyth, Yuri Sánchez González, Arlene Nugent, Naveed Z. Janjua

Bibliographic record

VenuePubMed · 2022
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsBC Centre for Disease ControlUniversity of British ColumbiaUniversity of SaskatchewanUniversity of CalgaryMcGill University Health CentreABB (Canada)Dalhousie UniversityUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsStatus quoPandemicPublic healthMedicineEnvironmental healthEpidemiologyFast trackDisease burdenCoronavirus disease 2019 (COVID-19)DiseasePolitical scienceInfectious disease (medical specialty)PopulationSurgery

Abstract

fetched live from OpenAlex

Three of Canada's provinces-two of them the most populous in the country-are off track to achieve the hepatitis C elimination goal. Building frameworks and innovative approaches to prevention, testing, and treatment will be necessary to achieve this goal.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.462

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.033
GPT teacher head0.254
Teacher spread0.221 · 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 designObservational
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

Citations13
Published2022
Admission routes2
Has abstractyes

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