Bibliographic record
Abstract
Collaboration with Bloorview Kids Rehab group to design a device to quantify a clients ability to grasp a writing stylus. The system includes a pen stylus, with force measuring sensor array on the surface, electronic interface and a PC for data acquisition. BACKGROUND: The PRISM lab is a multidisciplinary group of individuals concerned with advanced technologies and analytical methods for enabling children and youth with disabilities and special needs, along with their families, to achieve their personal best. The PRISM lab is located within Bloorview Kids Rehab, an academic health sciences centre, fully affiliated with the University of Toronto, and the largest paediatric rehabilitation centre in Ontario. We are affiliated with the Institute of Biomaterials and Biomedical Engineering, Department of Mechanical and Industrial Engineering, Department of Electrical and Computer Engineering, and the Graduate Department of Rehabilitation Science, all at the University of Toronto. DESCRIPTION OF RESEARCH: Design and produce compact electronics to measure and record force measurements at a sampling rate of 20 Hz. GBC effort focused on initial circuit design, layout and production of devices using facilities in GBC Microelectronics Labs. Future study includes producing customized sensors, and integrating RF technology to permit a more natural client experience. FINDINGS/CONCLUSIONS/APPLICATIONS: Successfully produced two devices that are currently being used by an occupational therapist at Bloorview for research purposes. CONTACT: jmcintyr@georgebrown.ca 05/14/07 PROJECT PARTNERS: Dave Fernandez (Bloorview), Alex Sochanisky (Propellorworks)
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.236 | 0.072 |
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".