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Record W3159570343

3LC-6 : Risk Group of Biological Agents and Toxins - Application of Biosafety Levels

2020· article· ko· W3159570343 on OpenAlexaboutno aff
이희찬

Bibliographic record

Venue한국공업화학회 연구논문 초록집 · 2020
Typearticle
Languageko
FieldBiochemistry, Genetics and Molecular Biology
TopicBacillus and Francisella bacterial research
Canadian institutionsnot available
Fundersnot available
KeywordsBiosafetyBusinessEnvironmental healthBiotechnologyMedicineBiology
DOInot available

Abstract

fetched live from OpenAlex

Risk groups of biological agents classified by different countries and these data were collected and compared specially for bacteria. Risk group (RG) classification data from Germany, Swiss, Belgium, Canada, Singapore, UK, EU, Australia/New Zealand, NIH of USA, Korea and BMBL were compiled into one excel file and compared the differences in the classifications of biological agents by different countries. Out of 1660 bacterial species complied, 214 species showed differences in RGs. These can be explained by the situations of each countries including the time of classifications of RG were made in different years for different countries. Different RG assigned to bacteria means different Biosafety Level (BSL) facility and higher levels of facility such as BSL 3 and BSL 4 require much more resources and affects the handling practices of that microbes. Proper RG assignments are needed for biosafety and efficiency of the laboratory.

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)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.005
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.004

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 head0.040
GPT teacher head0.285
Teacher spread0.245 · 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
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

Citations0
Published2020
Admission routes1
Has abstractyes

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Same venue한국공업화학회 연구논문 초록집Same topicBacillus and Francisella bacterial researchFrench-language works237,207