Bibliographic record
Abstract
A Cold Case Amanda K Hempel, Amanda K Hempel Department of Medicine, University of Toronto, Toronto, Canada Correspondence: A. K. Hempel, Department of Medicine, University of Toronto, 200 Elizabeth St, 13ES-213, Toronto, ON, Canada, M5G 2C4 (amanda.hempel@mail.utoronto.ca). https://orcid.org/0000-0002-3586-746X Search for other works by this author on: Oxford Academic PubMed Google Scholar Wayne L Gold, Wayne L Gold Department of Medicine, University of Toronto, Toronto, CanadaDivision of Infectious Diseases, University Health Network, Toronto, CanadaDivision of General Internal Medicine, University Health Network, Toronto, Canada Search for other works by this author on: Oxford Academic PubMed Google Scholar Ryan A Luther Ryan A Luther Department of Medicine, University of Toronto, Toronto, CanadaDivision of General Internal Medicine, University Health Network, Toronto, Canada Search for other works by this author on: Oxford Academic PubMed Google Scholar Clinical Infectious Diseases, Volume 72, Issue 6, 15 March 2021, Pages 1081–1083, https://doi.org/10.1093/cid/ciaa1638 Published: 15 March 2021 Article history Corrected and typeset: 15 March 2021 Published: 15 March 2021
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 teacher head, 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".