Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".