Evaluation of an Internal Review Process for Grants And Manuscripts in the Canadian Critical Care Trials Group
Bibliographic record
Abstract
RATIONALE AND OBJECTIVES: All grants and manuscripts bearing the Canadian Critical Care Trials Group name are submitted for internal peer review before submission. The authors sought to formally evaluate authors' and reviewers' perceptions of this process. METHODS: The authors developed, tested and administered two electronic nine-item questionnaires for authors and two electronic 13-item questionnaires for reviewers. Likert scale, multiple choice and free-text responses were used. RESULTS: Twenty-one of 29 (72%) grant authors and 16 of 22 (73%) manuscript authors responded. Most author respondents were somewhat or very satisfied with the turnaround time, quality of the review and the review process. Two-thirds of grant (13 of 20 [65%]) and manuscript authors (11 of 16 [69%]) reported one or more successful submissions after review. Changes made to grants based on reviews were predominantly editorial and involved the background, rationale, significance⁄relevance and the methods⁄protocol sections. Twenty-one of 47 (45%) grant reviewers and 32 of 44 (73%) manuscript reviewers responded. Most reviewer respondents reported a good to excellent overall impression of the review process, good fit between their expertise and interests and the grants reviewed, and ample time to review. Although most respondents agreed with the current nonblinded review process, more grant than manuscript reviewers preferred a structured review format. CONCLUSIONS: The authors report a highly favourable evaluation of an existing internal review process. The present evaluation has assisted in understanding and improving the current internal review process.
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 | 0.798 | 0.834 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.009 | 0.008 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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; 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".