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Record W2516888109 · doi:10.1093/rpd/ncw234

Using the Grade Approach to Support the Development of Recommendations for Public Health Interventions in Radiation Emergencies

2016· article· en· W2516888109 on OpenAlex
Zhanat Carr, Mike Clarke, Elie A. Akl, R. Schneider, Christophe Murith, Chaoran Li, John Parrish-Sprowl, Leif Stenke, Cecily Miller

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.

Bibliographic record

VenueRadiation Protection Dosimetry · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicRadioactive contamination and transfer
Canadian institutionsHealth CanadaMcMaster University
FundersWorld Health Organization
KeywordsGrading (engineering)GuidelinePsychological interventionMedicinePublic healthIntervention (counseling)NursingEngineeringPathology

Abstract

fetched live from OpenAlex

The World Health Organization (WHO) guideline development policy requires that WHO guidelines be developed in a manner that is transparent and based on all available evidences, which must be synthesised and formally assessed for quality. To fulfil this requirement, the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach of rating quality of evidence and grading strength of recommendations was applied when developing the WHO recommendations on public health interventions in radiation emergencies. The guideline development group (GDG) formulated 10 PICO (P: population; I: intervention; C: comparator; O: outcomes) questions to guide the development of recommendations on response interventions during the early/intermediate and late emergency phases and on risk communications for mitigating psycho-social impact of radiation emergencies. For each PICO question, an extensive evidence search and systematic review was conducted. The GDG then formulated the recommendations using the evidence to recommendation (E-2-R) decision-making matrix and evaluated the strength of each recommendation.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.969
Threshold uncertainty score0.330

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.153
GPT teacher head0.346
Teacher spread0.193 · 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