The relationship between autonomic function tests and the degree of autonomic dysfunction in second year students
Bibliographic record
Abstract
The aim of the work was to identify the relationship between autonomic function tests and the severity of autonomic dysfunction (AD), assessed by means of the Wein scale. The participants completed a number of questionnaires, including the Eysenck, Wein, Spielberger, and Beck questionnaires, the Toronto Alexithymic Scale (TAS), and the SF-36 Quality of Life questionnaire. The study involved 57 2nd-year students of the Pirogov Russian National Research University. A dynamometric test, a cold test, and an active orthostatic test were used. It was shown that junior medical students are characterized by high rates of anxiety, depression, and AD. The lack of correlations between AD severity and autonomic tests values along with significant correlations between AD severity and quality of life data, excepting physical functioning scale, allows us to assume that in the studied cohort AD is associated with substantial social, but not physical dysadaptation.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".