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Record W4304205473 · doi:10.53660/conj-1749-2k68

Prevalência do traço falciforme em doadores de sangue do Hemocentro Regional de Araguaína – TO

2022· article· pt· W4304205473 on OpenAlex

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

VenueConjecturas · 2022
Typearticle
Languagept
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsContinental (Canada)
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

A Anemia Falciforme foi descrita pela primeira vez em 1910 por James Herrick. Acredita-se que a doença tenha origem de distintas populações asiáticas e africanas e é mais prevalente em populações do continente africano. É a alteração hematológica hereditária de maior incidência no mundo, o resultado da mistura de raças diferentes ao longo dos anos. O objetivo do estudo foi identificar a prevalência do traço falcêmico em doadores de sangue do Hemocentro Regional de Araguaína-TO. Foram analisados os dados dos indivíduos que doaram sangue ao Hemocentro de Araguaína no período de 2010 a 2017, totalizando 51.870 registros. Dos 51.870 prontuários analisados, 733 foram identificados como positivo para o traço falciforme (1,41%), sendo que, desses, 505 (68,89%) eram do sexo masculino e 228 (31,11%) do sexo feminino. A maior prevalência de casos positivos ocorreu no ano de 2010 com um número de 186 (2,57%) casos. A prevalência encontrada nesse trabalho demonstra que há um baixo número de pessoas com o traço falciforme entre os doadores analisados.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.015
GPT teacher head0.278
Teacher spread0.263 · 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