Bibliographic record
Abstract
The Argus II retinal prosthesis is a promising new artificial vision restoration technology that, after years of extensive research, is now being implemented on a commercial basis. It is currently the only retinal implant to be approved by the Food and Drug Administration (FDA), Health Canada, and the Conformite Europeenne. As of now, it is strictly indicated for patients with retinitis pigmentosa and a history of prior useful vision that has worsened to the point of bare light perception or no light perception vision in both eyes. It utilizes an electrode array to stimulate residual retinal ganglion cells, which relay through the visual processing system to the visual cortex and allow the patient to perceive spatial and temporal patterns of lights. The largest prospective multi-center clinical study involving the Argus II implant found that patients demonstrated significant visual improvement as measured by performance on square localization, grating visual acuity, and direction of motion tasks. Recipients also exhibited functional visual improvements as assessed by a door task, line task, and the Functional Low Vision Observer Rated Assessment (FLORA). This was noted for up to three years following implantation of the device. Both in the research and commercial setting, the Argus II technology has proven to be incredibly promising. Ongoing research is directed at improving the existing Argus II technology, developing next-generation devices, and expanding indications of vision restoration to those who do not currently meet Argus II indications.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.023 | 0.015 |
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".