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Record W169650739 · doi:10.1093/pch/14.3.189

Case 1: A fever that touched the heart

2009· article· en· W169650739 on OpenAlexaff
Nisha Thampi, Michael Weinstein

Bibliographic record

VenuePaediatrics & Child Health · 2009
Typearticle
Languageen
FieldMedicine
TopicHematological disorders and diagnostics
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineLethargyErythrocyte sedimentation rateRashSinus tachycardiaBlood pressureHeart murmurInternal medicineHeart rateSurgery

Abstract

fetched live from OpenAlex

A 12-year-old previously healthy boy presented to the hospital with a three-week history of fever. The fever was initially associated with headaches that woke him up at night. He also reported having night sweats, anorexia and lethargy. He was prescribed an antibiotic (cefaclor) by his primary care physician for an erythematous oropharynx, although the swab taken had a negative bacterial culture. He denied having a cough, rash, diarrhea or dysuria. There was no recent travel, visitors from abroad or exposure to sick contacts. On examination, he was febrile at 39.2°C, with a heart rate of 90 beats/min and a blood pressure of 132/52 mmHg. A grade II/VI systolic ejection murmur was heard over the left upper sternal border without radiation. He was tender at the metatarsophalangeal joints of his left foot, without associated warmth or limited range of motion. There were no swollen joints, lymphadenopathy or rash. Investigations revealed a hemoglobin level of 96 g/L (normal 120 g/L to 160 g/L) with a mean corpuscular volume of 79.0 fL (normal 77.0 fL to 96.0 fL), erythrocyte sedimentation rate of 17 mm/h initially, 100 mm/h on repeat (normal lower than 10 mm/h) and a C-reactive protein level of 193.1 mg/L (normal lower than 8 mg/L). His liver enzymes and function, and creatine phosphokinase levels were normal, as were his chest x-ray and electrocardiogram.

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)0.004
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 score0.008
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.002
Science and technology studies0.0050.002
Scholarly communication0.0020.003
Open science0.0020.002
Research integrity0.0080.005
Insufficient payload (model declined to judge)0.0060.003

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 head0.033
GPT teacher head0.307
Teacher spread0.274 · 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
Published2009
Admission routes1
Has abstractyes

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