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Record W168734662 · doi:10.1155/2007/952141

Fever of Unknown Origin in a Migrant Farm Worker from Mexico: History, Her Story and His Story

2007· article· en· W168734662 on OpenAlexaffabout
Jocelyn A. Srigley, Jean‐Claude Cutz, James Young, Andrew M. Morris

Bibliographic record

VenueCanadian Journal of Infectious Diseases and Medical Microbiology · 2007
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Vectors
Canadian institutionsHamilton Health SciencesUniversity Health NetworkUniversity of TorontoMcMaster UniversityMcMaster University Medical CentreSt. Joseph’s Healthcare Hamilton
Fundersnot available
KeywordsMedicineChillsVomitingPast medical historyDysuriaNauseaSore throatPediatricsAbdominal painSurgeryInternal medicineUrinary system

Abstract

fetched live from OpenAlex

A 29-year-old migrant farm worker from Mexico presented to a hospital in Ontario with fever of unknown origin. She had arrived in Canada six weeks previously to work at an orchard. Her past medical history included two caesarean sections, postpartum hemorrhage requiring transfusion, and cholecystectomy. She was not on any medications. She began experiencing daily rigors one week after her arrival, often accompanied by drenching sweats, and she lost approximately 5 kg of weight. She had intermittent midthoracic back pain, but no other localizing symptoms. Painful vaginal sores and dysuria developed one week later. She presented to the emergency room, where she was diagnosed with genital herpes simplex and secondary bacterial infection. She was prescribed a one-week course of cephalexin and one dose of azithromycin, but she continued to have rigors. One week later, she developed intermittent epigastric pain with no nausea, vomiting or diarrhea. She returned to the emergency room with a fever of 39.5°C, and was admitted for presumed pelvic inflammatory disease. She was treated with various broad-spectrum antibiotics and acyclovir but remained persistently febrile. All cultures were negative and her pelvic ultrasound was unremarkable. She was transferred to a tertiary care hospital one week later for consultation with an infectious disease specialist. Further questioning revealed that she was from a city in Mexico where she lived in close proximity to chickens. She denied having recent insect bites, sick contacts, intravenous drug use and tattoos. She had two previous male sexual contacts, including her husband, who she said had died at 27 years of age from lung cancer. On examination, she was hemodynamically stable and slightly tachypneic, with a temperature of 38.4°C and an oxygen saturation of 96% on room air. Her head and neck examinations revealed two small umbilicated papules on the right upper eyelid and white lesions on the tongue and buccal mucosa. There was no lymphadenopathy. Her cardiovascular, respiratory, abdominal and neurological examinations were unremarkable. Blood tests on admission were significant for the following: hemoglobin of 90 g/L with a mean corpuscular volume of 75.8 fL, white blood cell count of 3.1×109/L (2.9×109/L neutrophils and 0.2×109/L lymphocytes), aspartate amino-transferase level of 132 U/L, alanine aminotransferase level of 28 U/L, alkaline phosphatase level of 386 U/L, bilirubin level of 6 μmol/L and lactate dehydrogenase level of 1283 U/L. Her chest x-ray showed a diffuse reticulonodular pattern. Diagnostic tests were performed.

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)0.002
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 score0.043
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0080.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.237
Teacher spread0.228 · 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
Published2007
Admission routes2
Has abstractyes

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