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Record W4399440138 · doi:10.1007/s00520-024-08569-1

World Health Organization package of interventions for rehabilitation for cancer: a MASCC-endorsed resource for global action to address unmet rehabilitation needs of people affected by cancer

2024· editorial· en· W4399440138 on OpenAlexaff
Nicolas H. Hart, Nicole L. Stout, Darren Haywood, Fredrick D. Ashbury, Raymond J. Chan, Margaret I. Fitch, Michael Jefford, Maryam B. Lustberg, Yasaman Etemadi, Alexandra Rauch, Kathleen Doyle Lyons, Daniel Santa Mina, Julie K. Silver, Jide Afolabi, Jai Prakhsh, Cynthia Pomaa Akuoko, Naomi Algeo, Anna Campbell, Nnenna Chigbo, Jack B. Fu, David C Fuehrer, Andrea Pasini, Mélissa Henry, Hasmukh Jain, Tezer Kutluk, Ellil Mathiyan Lakshamanan, Catalina Lopera, Sara Martinez Rios, Monica Pinto, Dagmara Poprawski, Silvina Montilla, Enrique Soto‐Pérez‐de‐Celis, Irma M. Verdonck-de Leeuw, Patsy Yates, Andrés Zanetta

Bibliographic record

VenueSupportive Care in Cancer · 2024
Typeeditorial
Languageen
FieldMedicine
TopicOral health in cancer treatment
Canadian institutionsUniversity of TorontoUniversity of Calgary
FundersNational Health and Medical Research CouncilMedical Research CouncilWorld Health Organization
KeywordsMedicineNursing researchRehabilitationPain medicineCancerPsychological interventionAction (physics)Resource (disambiguation)Physical therapyGerontologyNursingFamily medicinePsychiatryInternal medicine

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.348
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.027
GPT teacher head0.440
Teacher spread0.413 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations19
Published2024
Admission routes1
Has abstractno

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