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Record W2891863291 · doi:10.14288/hfjc.v10i3.242

Physical Activity in Clinical Exercise Rehabilitation as a Primary and Secondary Preventative Measure Against Cancer

2018· article· en· W2891863291 on OpenAlexaff
Phillip Do, Henry Lai, Darren E. R. Warburton

Bibliographic record

VenueOpen Collections · 2018
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineContext (archaeology)RehabilitationPhysical therapyQuality of life (healthcare)Physical activityPopulationCancerAlternative medicineGerontologyPhysical medicine and rehabilitationNursingInternal medicinePathologyEnvironmental health

Abstract

fetched live from OpenAlex

To reduce the risk of acquiring cancer in healthy populations and comorbidities associated with treatment in patients, clinical exercise rehabilitation has focused on improving their functional independence and overall quality of life. Evidence suggests that regular physical activity reduces the incidences of site-specific types of cancers. Regular physical activity leads to marked health benefits in individuals living with cancer, particularly in the early stages. The purpose of this review is to supplement an evidence-based knowledge translation video designed to educate the general population on the health-related benefits of physical activity in the context of cancer oncology.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.029
GPT teacher head0.378
Teacher spread0.350 · 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 designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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