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Record W1988624089 · doi:10.1093/rpd/ncq206

Medical preparedness for chemical, biological, radiological, nuclear, and explosives (CBRNE) events: gaps and recommendations

2010· article· en· W1988624089 on OpenAlex
D. Wilkinson, Barbara T. Waruszynski, Laurie Mazurik, A. Szymczak, Emily Redmond, Frederick M. J. Lichacz

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueRadiation Protection Dosimetry · 2010
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsSunnybrook Health Science CentreDefence Research and Development Canada
Fundersnot available
KeywordsRadiological weaponPreparednessEmergency responseEmergency managementMedical emergencyMedicinePolitical scienceSurgery

Abstract

fetched live from OpenAlex

The Workshop on Medical Preparedness for Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) events: national scan was held on 20 and 21 May 2010 at the Diefenbunker Museum in Ottawa, Canada. The purpose of the workshop was to provide the CBRNE Research and Technology Initiative with a Canadian national profile of existing capabilities and anticipated gaps in casualty management consistent with the community emergency response requirements. The workshop was organised to enable extensive round-table discussions and provide a summary of key gaps and recommendations for emergency response planners.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.890
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.384
Teacher spread0.333 · 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