A comparison analysis on the alexithymia of patients with schizophrenia in recovered period.
Bibliographic record
Abstract
Objective To explore the alexithymia of patients with schizophrenia in recovered period,and compare the serious degree between deficit type and non-deficit type.Methods 66 cases of schizophrenic patients in recovered period and 62 cases of normal persons were assessed.The assessments applied the Toronto alexithymia scale(TAS).Results The score of schizophrenic patients in recovered period were significant higher than that of normal persons (P0.05 or P0.01).The score of deficit type patients were significant higher than that of non-deficit type patients( P0.01).Conclusion There are serious alexithymia on most schizophrenic patients in recovered period.The alexithymia of deficit type patients were more seriousness.The serious alexithymia may be a sign of aggravating schizophrenia and original negative symptoms.
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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".