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Record W4406674826 · doi:10.7759/cureus.77767

Anaplasmosis in a 73-Year-Old Male From South Florida: A Case Report

2025· article· en· W4406674826 on OpenAlexaboutno aff
Jatin Goyal, Clark Kendrick Go

Bibliographic record

VenueCureus · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnaplasmosisFamily medicineGerontologyPediatricsVeterinary medicineTick

Abstract

fetched live from OpenAlex

tick in the Northeast and Midwest regions of the United States. Clinical symptoms of anaplasmosis can be non-specific, which may delay the diagnosis. This is a case of a 73-year-old male from South Florida who initially presented with non-specific febrile illness to an urgent care and was initially treated for a viral infection. Persistent febrile episodes prompted presentation to the emergency room. Initial findings of pancytopenia and fever worsened after the initiation of broad-spectrum antibiotics. Upon further history, the patient recounted recent travel to upstate New York and Canada, prompting a switch to intravenous doxycycline therapy for the presumptive diagnosis of tick-borne disease. Definitive diagnosis of anaplasmosis was confirmed via polymerase chain reaction. Since discharge with doxycycline therapy, the patient's symptoms and pancytopenia have fully resolved. Conducting a complete history and physical examination with concurrent laboratory studies is imperative for accurate diagnoses and improvement in patient outcomes.

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)0.000
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0040.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.011
GPT teacher head0.245
Teacher spread0.235 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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