Bibliographic record
Abstract
Note from the BJOT Editor-ChiefBJOT, like many major occupational therapy and rehabilitation journals, has already adopted guidelines for reporting. Since 2015, when the journal moved to SAGE for publication, BJOT has conformed to the ICMJE requirement (International Committee of Medical Journal Editors[ICMJE], n.d.) that clinical trials are registered in a WHO-approved public trials registry at or before the time of first patient enrolment as a condition of consideration for publication (see BJOT Submission Guidelines at bjo.sagepub.com for further information). We are reprinting this editorial to join our professional colleagues at the journals listed below in explaining why registration is so important for clinical trials.In addition to publishing clinical trials, BJOT welcomes the submission of pilot/feasibility studies for clinical trials and RCT protocols and will spotlight examples in an online e-collection. Authors considering submission of a pilot or feasibility study for a future trial are not r...
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 | 0.075 | 0.297 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.003 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.016 | 0.017 |
| Insufficient payload (model declined to judge) | 0.212 | 0.100 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".