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Record W2570414547 · doi:10.18192/uojm.v6i2.1812

Mind the Gap: Improving Pediatric Cancer Care in Developing Countries

2016· article· fr· W2570414547 on OpenAlexaffvenue
Rebecca Quilty

Bibliographic record

VenueUniversity of Ottawa Journal of Medicine · 2016
Typearticle
Languagefr
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPediatric oncologyPediatric cancerExpansivePolitical scienceMedicineDeveloping countryCancerHumanitiesEconomic growth

Abstract

fetched live from OpenAlex

ABSTRACTDespite the fact that the majority of childhood cancer cases occur in the developing world, pediatric oncology in developing countries has not been afforded the ground breaking advances and successes that are available in developed countries. It is an underestimated global child health concern, and the factors contributing to the two-tiered cancer outcome profile between developed and developing countries are complex and expansive. There are some initiatives in place, such as the twinning program, that are successfully improv­ing cancer treatment in resource-limited regions, but more international advocacy is needed to make state of the art cancer therapy available to all children. RÉSUMÉBien que la majorité des cas de cancers pédiatriques se produisent dans des pays en voie de développement, l’oncologie pédiatrique dans ces pays n’a pas pu profiter des avancées révolutionnaires qui sont accessibles dans les pays développés. Cela est un problème de santé pédiatrique mondiale sous-estimé, et les facteurs contribuant au profil à deux paliers des taux de survie du cancer entre les pays développés et ceux en voie de développement sont complexes et de grande ampleur. Il y a des initiatives en place, tels les pro­grammes de jumelage, qui améliorent avec succès le traitement du cancer dans les régions possédant des ressources limitées, mais plus de défense internationale des droits des enfants est nécessaire pour assurer la disponibilité des toutes dernières thérapies contre le cancer pour tous les enfants.

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)0.002
metaresearch head score (Gemma)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.635
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.020
GPT teacher head0.275
Teacher spread0.254 · 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.

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

Citations4
Published2016
Admission routes2
Has abstractyes

Explore more

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