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Record W4405176788 · doi:10.1002/9781683674849.mcm0141

<i>Leishmania</i> and <i>Trypanosoma</i>

2023· other· en· W4405176788 on OpenAlexaff
Alexandre J. da Silva, Momar Ndao

Bibliographic record

VenueClinMicroNow · 2023
Typeother
Languageen
FieldMedicine
TopicResearch on Leishmaniasis Studies
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsLeishmaniaTrypanosomaBiologyComputational biologyVirologyParasite hostingComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Abstract Leishmania spp. and Trypanosoma spp. belong to the Trypanosomatida in the eukaryote supergroup Excavata. Although microcopy techniques cannot be used to identify Leishmania spp. to the species level, the microscopic detection of Leishmania amastigotes in clinical specimens continues to be invaluable. Serologic tests including indirect fluorescent‐antibody testing, enzyme‐linked immunoassays, and immunoblot tests may give mixed results when applied to the diagnosis of leishmaniasis. The likelihood of a positive skin test increases with parasite burden and the time the patient has been infected with Leishmania parasites. Although vectorial transmission is considered the most important mode of transmission, leishmaniasis can also be transmitted by direct contact with an infected lesion or mechanically through bites by stable flies/dog flies. Molecular techniques for the detection of leishmanial nucleic acid have been used for diagnosis, predicting prognosis, and species identification.

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)0.000
metaresearch head score (Gemma)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.009
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.003

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 head0.026
GPT teacher head0.311
Teacher spread0.285 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

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