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Record W2064586563 · doi:10.1177/1054773804267730

A Comparative Study of Variables That Have an Impact on Noncancer End-of-Life Diagnoses

2004· article· en· W2064586563 on OpenAlexaboutno aff
Marjorie Dobratz

Bibliographic record

VenueClinical Nursing Research · 2004
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
FundersNational Institute of Nursing Research
KeywordsAmyotrophic lateral sclerosisMedicinePhysical therapyAnalysis of variancePost-hoc analysisAffect (linguistics)Post hocGerontologyInternal medicinePsychologyDisease

Abstract

fetched live from OpenAlex

By way of analysis of variance, this secondary analysis compared three groups of noncancer home hospice patients (AIDS, amyotrophic lateral sclerosis [ALS],and other) for psychological correlates of adaptation and well-being, pain, and physical function, as measured by the Life Closure Scale (LCS), the Affect Balance Scale, the McGill-Melzack Pain Questionnaire Part I, and the Karnofsky Performance Status Scale. The sample included 10 AIDS patients (Group 1), 6 ALS patients (Group 2), and 5 patients with other noncancer, end-stage diseases (Group 3). A significant difference was found between Group 2 (ALS) and Group 3 (other) on the LCS, F(2, 18) = 4.3, p =.03. Scheffe and Duncan range post hoc tests and at test at the p</=.05 level (t9 = 4.1, p =.003) confirmed the finding. No significant group differences were found among the ALS, AIDS, and other groups in measures of psychological well-being, pain, and physical function.

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)0.002
metaresearch head score (Gemma)0.009
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 score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.651
GPT teacher head0.668
Teacher spread0.017 · 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

Citations5
Published2004
Admission routes1
Has abstractyes

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