Bibliographic record
Abstract
Retinal diseases are personally debilitating and expensive, yet many early disease mechanisms leading to their onset and progression remain poorly understood. The harlequin mouse is a model of human mitochondrial dysfunction and parainflammation leading to subsequent cerebellar and retinal degeneration. Diagnosis of retinal degeneration can be tracked in vivo and is associated with AIF dysfunction. Here, retinal dysfunction in the harlequin mouse was first quantified using electroretinography followed by assay of blood-retinal-barrier integrity and transcriptome alterations in young adulthood. Nonmetric multidimensional scaling of oscillatory potentials provided a novel, comprehensive assessment of inner-retinal health and can detect shifts in OP parameters. Barrier integrity ruled out confounding exogenous antigens and confirmed an endogenous source of retinal tissue malfunction. In addition, transcriptome alterations support the necessity of the hq retina to maintain metabolic demands. Alternative metabolism pathways are hypothesized to be important for hq complex I mitochondrial-dysfunction associated retinal degeneration.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".