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Record W1968460599 · doi:10.1002/pbc.20137

A survey of resources and activities in the MISPHO family of institutions in Latin America: A comparison of two eras

2004· article· en· W1968460599 on OpenAlexaff
Alessandra Sala, Ronald D. Barr, Giuseppe Masera

Bibliographic record

VenuePediatric Blood & Cancer · 2004
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsMcMaster UniversityHamilton Health SciencesMcMaster Children's Hospital
Fundersnot available
KeywordsLatin AmericansMedicineFamily medicineGerontologyDemographyPolitical scienceSociologyLaw

Abstract

fetched live from OpenAlex

BACKGROUND: In developing countries, implementation of effective pediatric cancer programs can reduce the overall rate of childhood mortality. To promote this objective, Monzas International School of Pediatric Hematology-Oncology (MISPHO)--for 14 countries with limited resources in Latin America--was launched in 1996. METHODS: A survey was conducted to evaluate the possible impact of MISPHO on the following areas: research, educational, and clinical activities, diagnostic services, transfusion medicine, supportive care, ancillary staffing complement, and parents' associations--before and after 1996. RESULTS: No institution lost resources or activities after 1996 and there were overall gains, in particular in educational activities, diagnostic capabilities, creation of single and multiple institutional treatment protocols. CONCLUSIONS: Although notable improvements have occurred, there are still important needs that have to be satisfied.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.055
GPT teacher head0.361
Teacher spread0.305 · 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 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

Citations20
Published2004
Admission routes1
Has abstractyes

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