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Record W4388537066 · doi:10.1016/s0960-9776(23)00632-x

PO66 ASSESSING SELECT EMOTIONAL AND PSYCHOLOGICAL STATES OF STAGE IV BREAST CANCER PATIENTS: A CANADIAN BREAST CANCER NETWORK (CBCN) ASSESSMENT PROJECT

2023· article· en· W4388537066 on OpenAlexaffabout
Cathy Ammendolea, Kathleen Dickerson Swiger, Scott J. Richter, Bukun Adegbembo

Bibliographic record

VenueThe Breast · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBioinformatics and Genomic Networks
Canadian institutionsCanadian Breast Cancer Network
Fundersnot available
KeywordsMedicineBreast cancerStage (stratigraphy)OncologyCancerInternal medicineGynecology

Abstract

fetched live from OpenAlex

diagnosed with LABC during the first oncological consultation.The questionnaire consisting of socio-demographic and clinical variables, the Mental Adjustment to Cancer Scale (Mini MAC) and the Brief Religious Coping scale (Brief RCOPE).Data collection was done by EpiInfo software and statistical analysis by SPSS software.A multivariate linear model was used to find the determinants associated with different psychological adjustment strategies.Results: In total, our study population was composed of 209 women with an average age of 47.4 9.4 years.Among our main results, we found that the fatalism strategy had the highest average, followed by the fighting spirit as a coping strategy.Multivariate linear analysis showed that fighting spirit was associated with occupation and Negative Religious Coping (NRC).While, the determinants of fatalism strategy were monthly family income and NRC.Conclusion: A program to strengthen adaptive strategies is necessary from the diagnosis of the disease and also during the different stages of treatment.PO66

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)0.000
metaresearch head score (Gemma)0.000
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 score0.244
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.015
GPT teacher head0.302
Teacher spread0.287 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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