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Record W2405254419

A Study on the Circulation System of Biosafety Level 4 Laboratory Facilities

2011· article· en· W2405254419 on OpenAlexaboutno aff
Soon-Jung Kwon, Hongbin Choi

Bibliographic record

VenueJournal of The Korea Institute of Healthcare Architecture · 2011
Typearticle
Languageen
FieldMedicine
TopicMedical Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsBiosafetyGovernment (linguistics)Circulation (fluid dynamics)Hazardous wasteHazardEngineeringRisk analysis (engineering)BusinessOperations managementMedicine
DOInot available

Abstract

fetched live from OpenAlex

Recently, with the advent of high risk infectious agent such as the Ebola virus, SARS, special research facilities dealing with such dangerous pathogenic are drawing attention gradually. Especially, this kind of facilities can be called BL4(Biosafety Level 4) facility. At the moment, Korean government is going to construct BL4 institute in order to handle efficiently such kind of pathogen. However, there are no proper design guidelines for BL4 facility. This paper proposes circulation system of BL4 facility on the basis of analysis of existing BL4 guidelines of Canada, and Korean BL3 facilities. The outcomes of this study are as follows. At first, functional areas of BL4 facilities have been divided into three categories according to the hazard level ; dangerous area, transitional area, and ordinary area. Secondly, circulation system of BL4 facility has been explored as a form of diagram according to the circulating subjects. These include human, laboratory animals, hazardous pathogen, equipments and cloth. This study has some limitations in that it lacks empirical evidences and concrete SOPs(Standard Operating Procedure). Despite of some weaknesses, it is expected to give some preliminary guidelines for the design of circulation system in BL4 facilities.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.355
Threshold uncertainty score0.251

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.127
GPT teacher head0.335
Teacher spread0.208 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2011
Admission routes1
Has abstractyes

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