A 3-year-old girl with an axillary lymph node
Bibliographic record
Abstract
A 3-year-old girl of Tunisian descent was referred to a paediatric clinic for assessment of a persistent cough for the last 2 months. A chest-x-ray performed in that context revealed a calcified left axillary lymph node (Figure 1). Consequently, her physician performed a tuberculin skin test (TST), which at 48 hours produced an induration of 20 mm. She was referred to a paediatric infectious disease clinic. ... History revealed that she was born at term in Tunisia following a healthy pregnancy. She had emigrated to Canada at the age of 23 months. She was taking no medications and her immunizations were up to date according to provincial standards. Her cough had resolved post-introduction of asthma therapy. Her parents denied any symptoms compatible with tuberculosis (TB) or any known TB contacts. Physical examination revealed her weight to be 14.3 kg (75%ile). She was afebrile and had a normal respiratory exam. A small, non-tender <1 cm lymph node was found on examination of the left axilla. A chest CT-scan performed to rule-out additional adenopathy or parenchymal abnormalities revealed multiple calcified left axillary lymph nodes measuring between 7 and 8 mm (Figure 2).
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| 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".