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Record W4297458618 · doi:10.1111/trf.17092

National Blood Foundation 2021 Research and Development summit: Discovery, innovation, and challenges in advancing blood and biotherapies

2022· article· en· W4297458618 on OpenAlexaffabout
Jerry A. Holmberg, Stephen Henry, Thierry Burnouf, Dana V. Devine, Susanne Marschner, Thomas E. Boothby, Scott R. Burger, Stella T. Chou, Brian Custer, Neil Blumberg, Donald L. Siegel, Steven L. Spitalnik

Bibliographic record

VenueTransfusion · 2022
Typearticle
Languageen
FieldMedicine
TopicErythrocyte Function and Pathophysiology
Canadian institutionsCanadian Blood ServicesUniversity of British Columbia
Fundersnot available
KeywordsMedicineTransfusion medicineFamily medicineHepatitis B virusImmunologyIntensive care medicineBlood transfusionVirus

Abstract

fetched live from OpenAlex

Francisco) attributed to the discovery of HTLV-III as the etiological retrovirus of AIDS • 2008 Nobel Prize in Physiology or Medicine -HIV discovery to Drs Montagnier and Francoise Barre-Sinoussi Hepatitis B Virus (HBV) Vaccine 1969 1981 • Drs Blumberg and Millman developed the first heat-treated vaccine 4 years after Blumberg's discovery of the Australia Antigen as the etiology of HBV.FDA approved a plasma-derived HBV vaccine for human use in 1981.Blood establishments began testing for HBV in 1971 and were mandatory in the USA (1972) • 1976 Nobel Prize for Physiology or Medicine -Dr.Blumberg Advances in infectious disease donor screening for HIV, HBV, HCV 1972 1985 1990 1997• HBV: Anti-HBsAg mandatory screening in USA (1972)• HIV: Anti-HIV ELISA (1985)• Surrogate testing for Anti-HBc and ALT (1986-87) voluntary in the USA• HCV: Anti-HCV EIA (1990)• NAT: Donor screening initiated for HIV, HBV, and 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)0.037
metaresearch head score (Gemma)0.030
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: Other · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.195

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.030
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0120.009
Open science0.0040.011
Research integrity0.0170.018
Insufficient payload (model declined to judge)0.0390.021

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 head0.088
GPT teacher head0.326
Teacher spread0.238 · 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
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

Citations1
Published2022
Admission routes2
Has abstractyes

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