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Record W2811308892 · doi:10.24171/j.phrp.2018.9.3.10

The 2nd Meeting of National Control Laboratories for Vaccines and Biologicals in the Western Pacific

2018· article· en· W2811308892 on OpenAlexaff
Hokyung Oh, Jinho Shin, Chung Keel Lee, Masaki Ochiai, Kiyoko Nojima, Chang‐Kweng Lim, Irene Lisovsky, S. Williams, Ki Young Yoo, Dong‐Yeop Shin, Manabu Ato, Qiang Ye, Kiwon Han, Chulhyun Lee, Naery Lee, Ji Young Hong, Kikyung Jung, Phạm Văn Hưng, Jayoung Jeong

Bibliographic record

VenueOsong Public Health and Research Perspectives · 2018
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsHealth Canada
Fundersnot available
KeywordsMedicineFamily medicineLibrary scienceData scienceComputer science

Abstract

fetched live from OpenAlex

The Second Meeting of the National Control Laboratories for Vaccines and Biologicals in the Western Pacific, was jointly organized by the National Institute of Food and Drug Safety Evaluation of the Ministry of Food and Drug Safety in the Republic of Korea, and by the World Health Organization Regional Office for the Western Pacific. In the National Lot Release Systems session countries including Canada, China, Japan, Malaysia, Vietnam, and the Republic of Korea, all shared information on their current Lot Release Systems, including current practices and developments in risk-based official lot release of vaccines. In the session on Quality Control of Blood Products, experts from the National Institute for Biological Standards and Control shared quality control and research results for; blood coagulation factor VIII products, and the measurement of procoagulant activity in immunoglobulin products. Representatives from Japan proposed a regional collaborative study to test aggregated immunoglobulin free from complement activity. A cell-based Japanese encephalitis vaccine potency assay was proposed by representatives from Korea and they also called for voluntary participation of other National Control Laboratories in a collaborative study, on the first Korean Gloydius anti-venom standard. Participants agreed in general to continue communicating, and coordinate presentation of the study results.

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)0.009
metaresearch head score (Gemma)0.004
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 score0.028
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0220.004

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 head0.234
GPT teacher head0.512
Teacher spread0.277 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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