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Record W1688957754 · doi:10.1002/pbc.25060

Measurement of socio‐economic status in families of children with cancer in Guatemala

2014· article· en· W1688957754 on OpenAlexaff
M. De Pernillo, S Rivas, Lucía Fuentes, Federico Antillón, Ronald D. Barr

Bibliographic record

VenuePediatric Blood & Cancer · 2014
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsMcMaster University
Fundersnot available
KeywordsLatin AmericansMedicineCategorizationSocioeconomic statusBlood cancerChildhood cancerDeveloping countryLow and middle income countriesDemographyGerontologyEnvironmental healthCancerEconomic growthPopulation

Abstract

fetched live from OpenAlex

The prospects for survival of children in low and middle income countries are linked to their families socio-economic status (SES), of which income is only one component. Developing a comprehensive measure of SES is required. Informed by clinical experience, a 15-item instrument was designed in Guatemala to categorize SES by five levels in each item. Almost 75% of families attending the Unidad Nacional de Oncología Pediátrica were in the lowest three of six categories, providing a framework for stratified financial and nutritional support. The measure of SES offers an opportunity for examining associations with health outcomes throughout Latin America.

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)0.000
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 score0.015
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.017
GPT teacher head0.278
Teacher spread0.261 · 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

Citations19
Published2014
Admission routes1
Has abstractyes

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