Bibliographic record
Abstract
Journal Article Corrected proof An ever-expanding pseudo-high-risk preventive strategy Get access Arnaud Chiolero Arnaud Chiolero Population Health Laboratory (#PopHealthLab), University of Fribourg, Route des Arsenaux 41, 1700 Fribourg, SwitzerlandInstitute of Primary Health Care (BIHAM), University of Bern, Mittelstrasse 43, 3012 Bern, SwitzerlandSchool of Population and Global Health, McGill University, 3605 de la Montagne, Montreal H3G 2M1, QC, Canada Corresponding author. Email: arnaud.chiolero@unifr.ch https://orcid.org/0000-0002-5544-8510 Search for other works by this author on: Oxford Academic Google Scholar European Journal of Preventive Cardiology, zwad378, https://doi.org/10.1093/eurjpc/zwad378 Published: 07 December 2023 Article history Published: 07 December 2023 Corrected and typeset: 16 December 2023
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 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 | 0.005 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; 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".