Bibliographic record
Abstract
A 14-month-old boy was seen because of a persistent pneumonia for two months. Two months before admission he had a flu-like illness characterized by fever and cough. The chest radiograph showed bronchial wall thickening and sub-segmental atelectasis in the right middle lobe. He was treated with a 10-day course of amoxicillin-clavulinic acid. Following this, he continued to cough but he was afebrile and continued to thrive. Eight weeks later, follow-up postero-anterior (Figure 1A) and lateral chest radiographs (Figure 1B), done because of persistent coughing, showed consolidation in the right middle lobe with mediastinal lymphadenopathy. ... He was born in Canada. He had not travelled and there were no pets at home. His father was Canadian and white, and his mother had lived in Canada for 15 years but had been born in the Philippines. Both were healthy. Further history revealed that eight months earlier his maternal grandmother had moved to Canada from the Philippines to care for him while his parents worked. She had been unwell for two months with symptoms consisting of shortness of breath and was currently admitted to hospital for a ‘pneumonia’. Diagnostic tests were performed that revealed the cause of his persistent pneumonia.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.738 | 0.696 |
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".