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Record W2966287628 · doi:10.5114/pm.2019.86626

Fatigue among parents caring for a child with cancer

2019· article· en· W2966287628 on OpenAlexaboutno aff
Iwona Repka, Patrycja Betka, Ilona Kuźmicz, Grażyna Puto, Patrycja Zurzycka

Bibliographic record

VenueMedycyna Paliatywna · 2019
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsnot available
Fundersnot available
KeywordsPalliative careMedicineCancerNursingInternal medicine

Abstract

fetched live from OpenAlex

ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Repka I, Betka P, Kuźmicz I, Puto G, Zurzycka P. Fatigue among parents caring for a child with cancer. Medycyna Paliatywna/Palliative Medicine. 2019;11(2):88-96. doi:10.5114/pm.2019.86626. APA Repka, I., Betka, P., Kuźmicz, I., Puto, G., & Zurzycka, P. (2019). Fatigue among parents caring for a child with cancer. Medycyna Paliatywna/Palliative Medicine, 11(2), 88-96. https://doi.org/10.5114/pm.2019.86626 Chicago Repka, Iwona Barbara, Patrycja Betka, Ilona Kuźmicz, Grażyna Puto, and Patrycja Zurzycka. 2019. "Fatigue among parents caring for a child with cancer". Medycyna Paliatywna/Palliative Medicine 11 (2): 88-96. doi:10.5114/pm.2019.86626. Harvard Repka, I., Betka, P., Kuźmicz, I., Puto, G., and Zurzycka, P. (2019). Fatigue among parents caring for a child with cancer. Medycyna Paliatywna/Palliative Medicine, 11(2), pp.88-96. https://doi.org/10.5114/pm.2019.86626 MLA Repka, Iwona Barbara et al. "Fatigue among parents caring for a child with cancer." Medycyna Paliatywna/Palliative Medicine, vol. 11, no. 2, 2019, pp. 88-96. doi:10.5114/pm.2019.86626. Vancouver Repka I, Betka P, Kuźmicz I, Puto G, Zurzycka P. Fatigue among parents caring for a child with cancer. Medycyna Paliatywna/Palliative Medicine. 2019;11(2):88-96. doi:10.5114/pm.2019.86626.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.037
GPT teacher head0.326
Teacher spread0.289 · 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.

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
Published2019
Admission routes1
Has abstractyes

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