Bibliographic record
Abstract
The page limit for the manuscript, including the abstract and references, is 32 pages, 1.5 spaced in a size 11 font, and it should have one-inch margins on all four sides of the page.Each page of the manuscript should be numbered.In addition, some proofs, lemmas, supporting tables/fi gures, additional references, or any additional material, may be included in an e-companion.There is no page limit for the e-companion.A page limit is imposed because papers should focus on their main contribution and short papers are more likely to be read and cited. FormattingThe fi rst page of the manuscript should include the title of the paper and an abstract of a maximum of 350 words.The title should be concise and descriptive, not exceeding 25 words.The abstract is a mini-paper, and it should summarize the important contents of the paper.It is not a roadmap of the paper, and it should not contain formulas, references, or abbreviations.Please list at least one and up to six keywords at the end of the abstract.Cite references in the text by enclosing the authors' names and the year of publication in parentheses.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.909 | 0.865 |
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".