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Record W1984124236 · doi:10.1300/j077v26n01_01

Factors Influencing Depressive Symptoms of Children Treated for a Brain Tumor

2007· article· en· W1984124236 on OpenAlexaff
Maru Barrera, Fiona Schulte, Brenda J. Spiegler

Bibliographic record

VenueJournal of Psychosocial Oncology · 2007
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsSickKids FoundationPopulation Health Research InstituteHospital for Sick Children
Fundersnot available
KeywordsModerationClinical psychologySocial skillsPsychologyDepression (economics)Depressive symptomsPsychiatryDevelopmental psychologyMedicineCognition

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.670

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.031
GPT teacher head0.383
Teacher spread0.352 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations44
Published2007
Admission routes1
Has abstractyes

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