Task Generator 2.0: Integrating Interactive Technology with Personalized Task Generation
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
Cognitive impairments significantly impact daily functioning, but evidence suggests that rehabilitation can mitigate these effects. Traditional interventions, while widely accepted, face constraints in time and resources. Leveraging technological advancements, novel solutions like computerized cognitive interventions have emerged. One such tool, the NeuroRehabLab Task Generator (NTG), is a free web-based platform producing personalized cognitive tasks across multiple domains. This article presents an enhanced system building upon NTG’s capabilities, integrating its randomized task generation algorithm into a web application. Central to this upgrade is interactive content, enabling users to immediately engage with generated tasks while facilitating clinician evaluation of patient performance. Our proposed iterative methodology involves porting, testing, and evaluating each task from NTG. Validation of this work includes two evaluation sessions.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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