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Record W3014760544 · doi:10.1111/hae.14001

The COVID‐19 pandemic: New global challenges for the haemophilia community

2020· letter· en· W3014760544 on OpenAlexaff
Cédric Hermans, Alain Weill, Glenn F. Pierce

Bibliographic record

VenueHaemophilia · 2020
Typeletter
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsCanadian Hemophilia Society
Fundersnot available
KeywordsHaemophiliaClotting factorMedicinePandemicHaemophilia AImmunologyIntensive care medicineFactor IXVirologyDiseaseCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)PediatricsInternal medicine

Abstract

fetched live from OpenAlex

Over the past few decades, several blood‐borne viruses have targeted haemophilia patients requiring treatment with clotting factors derived from human plasma.1 Even today, many haemophilia patients and their families still retain painful and indelible memories of HIV and hepatitis C infections or are confronted with the progressive health consequences of these infections. [...]

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)0.003
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.038
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.004
Open science0.0010.003
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0380.006

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 head0.284
GPT teacher head0.397
Teacher spread0.113 · 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
GenreCommentary

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

Citations24
Published2020
Admission routes1
Has abstractyes

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