Appearances Can Be Deceiving: What Is the Diagnosis for this Community‐Acquired Pneumonia?
Bibliographic record
Abstract
A and asbestos exposure (in the 1970s) presented to the emergency department with a one‐month history of progressive dyspnea, right‐sided pleuritic chest pain, cough productive of white‐coloured sputum and malaise. His health problems had commenced four months before presentation while he was vacationing at a northern Ontario resort. At that time, he had felt unwell and had developed a fever with rightsided pleuritic chest pain that radiated to his right shoulder. The diagnosis was an upper respiratory tract infection, made by the local physician; the patient was treated with a 10‐day course of cephalexin. Although his condition had initially improved after the antibiotic therapy, during the month before presentation he had experienced increasing fatigue, cough with clear sputum production and a loss of appetite. He also developed worsening right‐sided pleuritic chest pain that radiated to the right shoulder, dyspnea and orthopnea. He had no nausea, vomiting, diarrhea or hemoptysis. However, he had lost 4 kg and had drenching night sweats over the previous three and a half months. Further history revealed that he had drunk well water during his vacation in northern Ontario and that several families who were with him at that time also became ill, although he was not aware of the nature of their symptoms.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.008 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.011 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".