Factors Influencing Depressive Symptoms of Children Treated for a Brain Tumor
Bibliographic record
Abstract
OBJECTIVES: To examine depressive symptoms in children treated for a brain tumor and related clinical, demographic and personal factors. METHODS: Fifty-four children with brain tumors (32 males) aged 8.2-18.3 years participated. Standardized measures assessed depressive symptoms, social skills, self-worth and IQ. Clinical (treatment) and demographic variables (gender) were also examined. RESULTS: Depression scores were subjected to a 2 (gender), X 2 (social skills: low, high), X 3 (self-worth: low, average, high) ANCOVA with IQ as the covariate. Significant main effects of gender and of self-worth and an interaction between gender, social skills, and self-worth were observed. Gender was identified as a moderator of the effect of social skills and self-worth on depressive symptoms. CONCLUSIONS: Gender, social skills, and self-worth play important roles in the depressive symptoms of pediatric brain tumor patients.
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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 | 0.000 | 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) | 0.001 | 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 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".