Comparison of four scales measuring depression in schizophrenic inpatients
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Several scales have been used to diagnose and evaluate depression in schizophrenia. However, the association between different depression scales and between depression scales and negative symptoms has not been studied adequately. Sixty-four consecutively admitted schizophrenic patients to Eginition Hospital, Department of Psychiatry, Athens, were assessed on the following scales: the Calgary Depression Scale for Schizophrenia (CDSS), the Hamilton Depression Rating Scale (HDRS), the Expanded Brief Psychiatric Rating Scale-Depression subscale (EBPRS-D), the Positive and Negative Syndrome Scale-Depression subscale (PANSS-D) and the Negative Symptoms subscale (PANSS-N). The depression scales were found to be highly intercorrelated with the exception of the comparison between the EBPRS-D and the PANSS-D. Out of the four depression scales studied, only CDSS and EBPRS-D can discriminate between depression and a PANSS-Negative Symptoms subscale score or negative item scores.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it