Establishing a new journal for systematic review products
Bibliographic record
Abstract
Welcome to a new age in publishing systematic reviews. We hope the launch of Systematic Reviews will resonate with a broad spectrum of readers interested in using them in a variety of ways, such as providing comprehensive and up to date evidence for patient management, informing health policy, and developing rigorous practice guidelines. Systematic reviews are increasingly popular. Our journal is committed to publishing a wide variety of well conducted and transparently reported systematic reviews and associated research. We are open access and electronic and not confined by space and so offer scope for publishing reviews in detail and providing a modern and innovative approach to publishing. We look forward to participating in the voyage with all of our readers.
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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 | 0.287 | 0.625 |
| Meta-epidemiology (narrow) | 0.003 | 0.005 |
| Meta-epidemiology (broad) | 0.011 | 0.008 |
| Bibliometrics | 0.034 | 0.018 |
| Science and technology studies | 0.008 | 0.013 |
| Scholarly communication | 0.070 | 0.043 |
| Open science | 0.007 | 0.019 |
| Research integrity | 0.034 | 0.044 |
| Insufficient payload (model declined to judge) | 0.073 | 0.087 |
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".