A Typical Atypical Pneumonia
Bibliographic record
Abstract
20 A55-year-old white man from eastern Ontario with a past medical history of class IV angina and no previous significant infectious disease history presented to the emergency room with a five-day history of left-sided, pleuritic chest pain, dyspnea and cough productive of clear sputum. He had no hemoptysis, chills or previous exposure to tuberculosis, but had lost 9 kg in the previous month. He had not travelled recently, was not exposed to any unusual animals and had no pets. He smoked 40 packs of cigarettes/year. His medications were acetylsalicylic acid, nitroglycerine and metoprolol. On admission, he was febrile and hypoxic (oxygen pressure of 69 breathing room air), yet his chest was clear to auscultation. His white blood cell count was 10.5 × 109/L, with a normal differential, and the sedimentation rate was 215 mm/h. Chest radiography showed a lateral, diamondshaped area of opacity in the left mid-lung zone, abutting the chest wall (Figure 1). A D-dimer assay was negative and a ventilation perfusion scan was interpreted as being of low probability for pulmonary embolism. The patient was treated with intravenous erythromycin and cefuroxime, but remained both febrile and hypoxic. HIV serology and sputum cultures were negative. A biopsy of the lesion was performed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.005 |
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".