Bibliographic record
Abstract
In the present issue of the Journal, Patrick and his colleagues (pages 330‐336) describe an episode in the summer of 2003, immediately following the severe acute respiratory syndrome (SARS) epidemic, when an outbreak of respiratory illness occurred in a long‐term care facility in Vancouver, and was initially reported by the National Microbiology Laboratory (NML) to be SARS. The local laboratories did not support the diagnosis and, subsequently, the NML diagnosis was acknowledged to be incorrect. The misdiagnosis, however, had an immediate negative impact by suggesting that SARS continued to be transmitted in Canada, raising the spectre of social and economic impacts recently experienced by Toronto. The episode also had a longer term negative impact on national and international perceptions of the reliability of the Canadian laboratory. Thus, a critical review of this episode to understand what happened and to avoid future errors is appropriate. Dr Patrick and his coauthors, including those from the NML, are to be congratulated for presenting this information to the Canadian infectious diseases and public health communities.
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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 | 0.039 | 0.279 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.016 |
| Scholarly communication | 0.014 | 0.022 |
| Open science | 0.004 | 0.012 |
| Research integrity | 0.009 | 0.020 |
| Insufficient payload (model declined to judge) | 0.017 | 0.012 |
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".