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Record W1978843290 · doi:10.5216/rpt.v30i1.15813

ESTUDO COMPARATIVO ENTRE PUAS TÉCNICAS DE XENODIAGNÓSTICO ARTIFICIAL APLICADO EM PACIENTES CHAGÁSICOS CRÓNICOS

2011· article· es· W1978843290 on OpenAlexaff
Luciamáre Perinetti Alves Martins, Roberto Esteves Pires Castanho, João Aristeu da Rosa, Maurício O. Tokumo, Charles A. P. de Godoy, Raphael De M. Rosa

Bibliographic record

VenueRevista de Patologia Tropical / Journal of Tropical Pathology · 2011
Typearticle
Languagees
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsCytodiagnostics (Canada)
Fundersnot available
KeywordsMedicinePhysics

Abstract

fetched live from OpenAlex

Foram realizados 33 xenodiagnósticos artificiais em pacientes sabidamente chagásicos crónicos, em um estudo comparativo com duas técnicas diferentes; uma técnica proposta por Lima & Rey (1991) e outra por Silva (1991). Nesse estudo utilizaram-se ninfas de terceiro estádio de Pamlrongyltts megistus, Rhodnius negleclux e Tnatoma infestans. Dos 33 xenodiagnósticos realizados, seis foram positivos, sendo dois (6,1%) pela primeira e quatro(12,1%) pela segunda. A faixa etária acima de 55 anos foi a que apresentou maior número de casos positivos. Ao comparar o volume de sangue ingerido, observou-se que os triatomíneos sugaram maior quantidade quando foi utilizada a técnica de Silva (1991) com (p<0,0001), sendo que a espécie que ingeriu maior volume foi o P- megistus.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
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 head0.036
GPT teacher head0.299
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

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

Citations3
Published2011
Admission routes1
Has abstractyes

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