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Record W4238522445 · doi:10.1142/s0219030314000020

BIOBOARD

2014· article· en· W4238522445 on OpenAlexaboutno aff

Bibliographic record

VenueAsia-Pacific Biotech News · 2014
Typearticle
Languageen
FieldMedicine
TopicScience, Research, and Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsSummitDiseaseMedicinePathologyGeography

Abstract

fetched live from OpenAlex

INDIA – Oral chlorea vaccine ‘offers protection for five years’. JAPAN – Gene discovery leads way to more rice. MALAYSIA – Top international hospitals to hold summit in Asia to address efficiency, patient safety issues. SINGAPORE – Study led by NUS scientists provides new insights into cause of human neurodegenerative disease. SINGAPORE – Recycled plastic proves effective in killing drug-resistant fungi. SINGAPORE – Singapore scientists engineer human stem cells and move closer to mastering regenerative medicine. SINGAPORE – A*STAR scientists discover novel hormone essential for heart development. SINGAPORE – New discovery on how skin cells form “bridges” paves the way for advances in wound healing and tissue engineering. AUSTRALIA – Pathogen study explores blocking effect of E. coli protein on immune system. CANADA – Alzheimer's risk gene may begin to affect brains as early as childhood. EUROPE – Simple blood test detects 85% of colorectal cancers and over 50% of polyps. JERUSALEM – New compound for slowing the aging process can lead to novel treatments for brain diseases. US – Older mice fed wolfberries show reduced risk for flu virus with vaccine diseases. US – Molecular sensor detects early signs of multiple sclerosis, Gladstone study finds. US – Scripps Research Institute scientists achieve detailed picture of key part of Hepatitis C virus. US – Researchers discover promising new treatment to help people with spine injuries walk better. US – Personalized vaccine for most lethal type of brain tumor shows promise.

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)0.001
metaresearch head score (Gemma)0.002
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: Other
Teacher disagreement score0.683
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0020.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.6830.487

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 head0.025
GPT teacher head0.303
Teacher spread0.278 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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