Bibliographic record
Abstract
Objective:To study alexithymia and its cor related factors in hem odialysis patients.Methods:To compare 30 hemodi alysis patients of end s tage renal disease and 30 normal controls with the Toronto Alexithymia Scale (TAS),Self-Rating Anxiety Scale(SAS),Self-Rating Depression Scale (SDS) a nd the General Information Questionnaire.Results:1.A high prevalence of alexithy mia (53.33%) was observed in hemodialysis patients.Hemodialysis patients group s howed significantly higher scores than the normal groups on the total score,Ⅰan d Ⅱfact or score of TAS,the standard scores of SAS and SDS (P0.05). 2.There was po si tive correlation between the total score of TAS and the standard score of SAS an d SDS(P0.05), and negative correlation between the total score of TAS and e ducat ion levels in hemodialysis patients group.Conclusion:The p revalence of alexithym ia was high in hemodialysis patients.The degree of alexithymia was more puonounc ed in patients with significant problems of anxiety and depression and in patien ts with lower levels of education.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".