Guide to writing and publishing a scientific manuscript: Part 1—The structure
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Writing a scientific manuscript for a peer-reviewed medical journal can be a frustrating but ultimately very satisfying process. Benefits for the authors include the ability to share the results of their project with a large audience and the opportunity to change practice, the satisfaction of completing a challenging scholarly endeavor, and the recognition of your institution in terms of advancement and/or compensation. Those who have not yet written a scientific manuscript may not appreciate how long and intensive the journey can be. The goal of this guide is to offer tried and true, step by step, recommendations on how to simplify the writing process and increase the chances of successful publication. Variations on these tips have been presented nationally and internationally and have been the basis for authoring or co-authoring hundreds of papers as well as for mentoring many learners in the Canadian emergency medicine community. Part 1 will address the structure or anatomy of a manuscript and Part 2 will look at the process of writing and dealing with journals.
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.
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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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 it