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Record W2243719208

B-Life project : new services for biological emergencies

2012· article· en· W2243719208 on OpenAlexaboutno aff
Roland Gueubel, Jean‐Luc Gala, César Bastón Canosa, Pierre-Alain Fonteyne

Bibliographic record

VenueDigital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) · 2012
Typearticle
Languageen
FieldMedicine
TopicData-Driven Disease Surveillance
Canadian institutionsnot available
Fundersnot available
KeywordsGNSS applicationsService (business)Biological warfareComputer scienceGeographyComputer securityEnvironmental resource managementBusinessTelecommunicationsGlobal Positioning SystemEnvironmental sciencePolitical science
DOInot available

Abstract

fetched live from OpenAlex

The B-LiFE (Biological Light Fieldable laboratory for Emergencies) project is focused on delivering services for field analysis of biological threats and emergencies using a light fieldable laboratory system, autonomous and able to be quickly deployed nearby the crisis area. As seen in recent years, the successful management of sanitary crises such as CBRN (Chemical, Biological, Radiological and Nuclear) threats, life-threatening emerging diseases and outbreaks in remote areas, relies on the ability to perform rapid and reliable detection and identification of pathogens (e.g. anthrax cases in US in 2001, and SARS outbreak in Ontario in 2003). For fast response, the diagnostic capacity must be as close as possible to the crisis/crime area. The integration of several space based technologies: Satellite Communication, Global Navigation Satellite System (GNSS) and Earth Observation are critical to provide rapid field operational capabilities: Satellite communications are required for the communications between the field teams and the command and control centre(s). Earth Observation (EO) imagery provides geographical information and maps of the crisis area. Meteorological and weather forecasts need to be provided in order to support the forecast of disease spreading, the stability of medicines and the protection of the equipments in use. Satellite navigation will be used for georeferencing of the data samples as well as for tracking and tracing of the medical/biological and sampling team. B-LiFE service is a valuable tool for European countries, institutions and organisations to improve the level of response and increase of security in CBRN emergencies, a service that will be available in any location worldwide. The B-LiFE service allows the integration and exploitation by any stakeholder with their own expertise and purposes. B-LiFE is currently in Feasibility Study stage under the auspice of the Integrated Applications Promotion (IAP) programme of the European Space Agency (ESA). The project is developed by an international consortium. From Belgium, the Centre for Applied Molecular Technologies of the Universite catholique de Louvain develops the biological laboratory and manages the project, the Vrije Universiteit Brussel provides expertise in remote sensing and image processing. The consortium is completed with SES TechCom, one of the largest satellite operators, based in Luxemburg. The project is supported by the Belgian federal scientific Policy and by the Luxemburg Government. Following a successful completion of the study, it is planned to continue within ESA's IAP programme with a demonstration project developing and demonstrating the targeted pre-operational services. Copyright © (2012) by the International Astronautical Federation.

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)0.005
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: Other
Teacher disagreement score0.066
Threshold uncertainty score0.220

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0030.004
Open science0.0030.005
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0660.043

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 head0.021
GPT teacher head0.239
Teacher spread0.219 · 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
Published2012
Admission routes1
Has abstractyes

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