MRI Research Proposals Involving Child Subjects: Concerns Hindering Research Ethics Boards from Approving Them and a Checklist to Help Evaluate Them
Bibliographic record
Abstract
The process of research is often lengthy and can be extremely arduous. It may take many years to proceed from the initial development of an idea through to the comparison of the new modalities against a current gold-standard practice. Each step along the way involves rigorous scientific review, where protocols are scrutinized by multiple scientists not only in the specific field at hand but related fields as well. In addition to scientific review, most countries require a further review by a panel that will specifically address the ethics of the proposed research. In Canada, those panels are referred to as Research Ethics Boards (REB), with the United States counterparts known as Institutional Review Boards (IRB).
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 | 0.571 | 0.682 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.009 | 0.013 |
| Scholarly communication | 0.013 | 0.015 |
| Open science | 0.007 | 0.011 |
| Research integrity | 0.017 | 0.018 |
| Insufficient payload (model declined to judge) | 0.006 | 0.007 |
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".