Mercury, Coronary Heart Disease, and the Limits of Observational Epidemiology
Bibliographic record
Abstract
From the Divisions of General Internal Medicine, Clinical Pharmacology and Toxicology, and the Clinical Epidemiology Unit, Sunnybrook and Women's College Health Sciences Centre, Toronto, Ontario, Canada; Departments of Medicine and Health Policy Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada; Ontario Regional Poison Information Centre, Toronto, Ontario, Canada; and Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada. TDM Journal Club is a new feature of the journal, covering TDM breakthrough research in other journals. Readers are invited to submit TDM Journal Club papers to Dr. Gideon Koren, co-editor in chief. Reprints: Dr David Juurlink, G Wing 106 (ICES), Sunnybrook and Women's College Health Sciences Centre, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada (e-mail: [email protected]).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.274 | 0.565 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.002 | 0.016 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".