Bibliographic record
Abstract
Background: Amblyopia can drastically affect a child’s life. Recently, following a shift in the view of amblyopia from that of a monocular disorder to that of a binocular disorder, dichoptic video games were introduced as a new treatment method. Aim: To explore the role of video games in the treatment of children with amblyopia. Methods: PubMed and Google Scholar were screened for the keywords “amblyopia” and “games”, from January to March 2022. Only articles written in English that discussed video games for the treatment of amblyopia were included. Results: The advantages of dichoptic video games include a more rapid improvement in visual acuity in different age groups, simpler compliance monitoring, and possibly a reduced risk of recurrence. However, not all studies proclaimed the effectiveness of video games and some raised concerns about their addictive potential. Conclusion: Dichoptic video games require further controlled studies to demonstrate their efficacy. However, they show promising results in the treatment of what was, until recently, considered untreatable amblyopia.
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 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 | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".