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Record W6887674246 · doi:10.17605/osf.io/3rpfx

Exploring the intersection of frailty, cancer, and sepsis and potentials for rehabilitation: A scoping review

2022· other· en· W6887674246 on OpenAlexaff

Bibliographic record

VenueOpen Science Framework · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIntersection (aeronautics)RehabilitationInclusion (mineral)Work (physics)Systematic reviewMEDLINE

Abstract

fetched live from OpenAlex

The purpose of this project is to conduct a scoping review to explore the intersection of frailty, sepsis, and cancer and identify potentials for rehabilitation to improve survivor outcomes. We will summarize the evidence on the effect of these conditions on one another, rehabilitation strategies used for individuals with these three conditions, and outcomes assessed. The Joanna Briggs Institute manual for scoping reviews, developed based on work by Arksey and O’Malley and Levac and colleages, will guide this review. This framework includes nine steps. Consultation of information scientists, stakeholders, and experts is a central part of this framework and will occur during the scoping review process. Reporting will be in accordance with the PRISMA extension for scoping reviews. Title and abstract screening and full text review will be completed in duplicate to determine eligibility for inclusion in the review. Data on study design and PICO components will be extracted. A qualitative synthesis will summarize findings.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.571
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.170
GPT teacher head0.434
Teacher spread0.264 · 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
GenreReview

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
Published2022
Admission routes1
Has abstractyes

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