Содержание нейроспецифических белков при когнитивных нарушениях у пациентов с сахарным диабетом 1-го типа
Bibliographic record
Abstract
Type 1 diabetes mellitus (DM1) is a widespread metabolic disease of social significance due to early disability in young patients and reduced life expectancy. One of the DM1 complications is CNS lesions resulting in cognitive dysfunction mediated through metabolic disorders. This condition can be partly or completely reversed if diagnosed and treated at an early stage. The aim of this study was to determine the level of neurospecific proteins in 58 patients aged 16-30 years with type 1 diabetes mellitus and cognitive disorders in comparison with 29 healthy controls of similar age. All the participants underwent neuropsychological testing based on the Montreal scale for rapid screening of cognitive disorders (MoCA-test). Protein S100, glialfibrillary acidic protein, and myelin basic protein served as early markers of cognitive dysfunction. The study revealed an enhanced level of neurospecific proteins that correlated with hyperglycemia and cognitive deficit (MoCA score 26).
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".