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Record W73201147 · doi:10.1093/pch/12.5.389a

Case 2: You look like you've seen a goat

2007· article· en· W73201147 on OpenAlexaff
Megan Harrison, RI Hilliard, Elana Lavine

Bibliographic record

VenuePaediatrics & Child Health · 2007
Typearticle
Languageen
FieldMedicine
TopicHematological disorders and diagnostics
Canadian institutionsHospital for Sick ChildrenChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsPallorMedicineLethargyBlood pressureRespiratory rateMean corpuscular volumeWhite blood cellPhysical examinationHemoglobinComplete blood countInternal medicineHeart rateGastroenterology

Abstract

fetched live from OpenAlex

A five-month-old, white female presented to the hospital with a three-week history of pallor and lethargy. The infant was born at term with a birth weight of 3.15 kg. She was bottlefed every 2 h to 4 h on demand with a normal stool and urine pattern. Her 26-year-old mother consumed a vegan diet. The infant was not taking any medications and all immunizations had been declined. On examination, she was pale and lethargic; vital signs included a temperature of 37.8°C, a pulse of 145 beats/min, a blood pressure of 80 mmHg and a respiratory rate of 35 breaths/min. Her weight was 6.37 kg (in the 25th percentile for age). A grade 2/6 systolic ejection murmur was detected at the left sternal border in addition to a palpable spleen. The remainder of her physical examination was normal. On investigation, her hemoglobin level was 30 g/L (normal 100 g/L to 140 g/L), with a mean corpuscular volume (MCV) of 94.3 fL (normal 73 fL to 85 fL) and an absolute reticulocyte count of 41.3×109/L (normal 5×109/L to 250×109/L). Her platelet count was 57×109/L (normal 150×109/L to 400×109/L) and white blood cell count was 5.7×109/L (normal 5×109/L to 15×109/L), with 1.83×109/L of neutrophils. Her blood smear showed hypersegmented neutrophils. Electrolytes, renal function tests and liver enzymes were normal. Her chest x-ray showed mild cardiomegaly and abdominal ultrasound showed mild splenomegaly (6.6 cm). Bone marrow aspirate revealed increased erythropoiesis, and bone marrow biopsy reported hypercellular marrow and megaloblastic changes with no evidence of leukemia. Further history and laboratory tests revealed the etiology of her anemia.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.402
Threshold uncertainty score0.896

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.300
Teacher spread0.280 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2007
Admission routes1
Has abstractyes

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