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Record W4392750752 · doi:10.25107/2689-9388-v6-id1047

Human Babesiosis Caused by Babesia odocoilei: Hiding Behind a Mask

2024· article· en· W4392750752 on OpenAlexaboutno aff
Scott JD, Sajid MS, Kashif Hussain, H Tu-Zahra

Bibliographic record

VenueOpen Journal of Public Health · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsnot available
Fundersnot available
KeywordsBabesiosisBabesiaBiologyVirology

Abstract

fetched live from OpenAlex

Background: Human babesiosis is a tick-transmitted, zoonotic disease caused by a single- celled, intraerythrocytic parasite of the genus Babesia. In North America, Babesia odocoilei is the predominant Babesia species, and has considerable medical and economic dysfunction. Sequestering Babesia spp. form occlusions and blockage in capillaries, and are recalcitrant to treat. Methods: This international human babesiosis study encompassed 113 participants from Canada and the USA. A professional phlebotomist drew blood from each participant. The human study protocol was approved by WCG IRB, an international ethical review board. Nucleic acid detection was used to carry out Babesia identification. Results: Since participants had been taking antibabesials before blood draw, nucleic acid detection of B. odocoilei was thwarted. Most participants had an array of clinical symptoms associated with human babesiosis. On the consent form, the most common symptoms were unrelenting fatigue, muscle or joint ache, sleep disturbance, brain fog, and slow/impaired cognition. Conclusion: Babesia odocoilei-infected I. scapularis are playing havoc with patients’ lives. The 18S rRNA gene is not stable when the patient has been on babesial treatment prior to blood draw. Nucleic acid detection results are unreliable when patients have previously taken antibabesials.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.058
GPT teacher head0.346
Teacher spread0.288 · 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 designCase report
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

Citations1
Published2024
Admission routes1
Has abstractyes

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