Introducing JMIR Rehabilitation and Assistive Technologies: A Venue for Publishing Interdisciplinary Research on the Development, Implementation, and Evaluation of Health Innovations and Emerging Technologies in the Field of Rehabilitation
Bibliographic record
Abstract
Rehabilitation supports the affected individual and their caregivers in managing the health condition and its associated symptoms, altering the environment to accommodate needs, adapting tasks for safe and independent performance, facilitating self-management, and using assistive devices and technologies. JMIR Rehabilitation and Assistive Technologies focuses on pragmatic yet rigorous and impactful science that reports on the development, implementation, and evaluation of health innovations and interventions as well as emerging technologies in the field of rehabilitation.
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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 | 0.035 | 0.119 |
| Meta-epidemiology (narrow) | 0.005 | 0.003 |
| Meta-epidemiology (broad) | 0.009 | 0.005 |
| Bibliometrics | 0.013 | 0.007 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.027 | 0.013 |
| Open science | 0.007 | 0.005 |
| Research integrity | 0.032 | 0.032 |
| Insufficient payload (model declined to judge) | 0.026 | 0.019 |
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".