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Record W2413846205 · doi:10.1055/s-0032-1304583

Psychische Morbidität bei Partnern kehlkopfloser Karzinompatienten: Womit hängt die Auftrittswahrscheinlichkeit zusammen?

2012· article· de· W2413846205 on OpenAlexaff
Alexandra Meyer, Dorit Wollbrück, Andreas Dietz, Elmar Brähler, Orlando Guntinas‐Lichius, H Vogel, Eberhard Meister, Annett Körner, Susanne Singer

Bibliographic record

VenuePPmP - Psychotherapie · Psychosomatik · Medizinische Psychologie · 2012
Typearticle
Languagede
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsMcGill University
Fundersnot available
KeywordsPolitical scienceGynecologyMedicine

Abstract

fetched live from OpenAlex

In a multicenter cross-sectional study of 106 spouses of laryngectomized patients differences between spouses with a mental disorder and spouses without were analyzed. The probability of occurrence was mainly related to relationship factors: Spouses, who reported a better quality of their relationship with the patient (OR=0.77; 95% CI: 0.631-0.939; p=0.010), whose sexual desire was not diminished in response to their partner's disease (OR=0.077; 95% CI: 0.011-0.527; p=0.009) and who had no problems in dealing with the tracheostomy (OR=0.062; 95% CI: 0.006-0.619; p=0.018) presented a mental disorder less frequently. The cross-sectional nature of this study does not allow conclusions regarding causality. The results should be reappraised in a longitudinal study. However, the findings suggest that patients with laryngectomy and their families should be also offered couple interventions besides individual counseling.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.067
GPT teacher head0.353
Teacher spread0.286 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2012
Admission routes1
Has abstractyes

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