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Record W4283788675 · doi:10.1016/j.jgo.2022.06.009

Feasibility and efficacy of a remotely delivered fall prevention exercise program for community-dwelling older adults with cancer: Protocol for the STABLE trial

2022· article· en· W4283788675 on OpenAlexafffund
Schroder Sattar, Kristen R. Haase, Shabbir M.H. Alibhai, Kelly Penz, Michael Szafron, Sebastian Harenberg, Eitan Amir, Shawn Kuster, Eric Pitters, Diane Campbell, Margaret L. McNeely

Bibliographic record

VenueJournal of Geriatric Oncology · 2022
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsSaskatchewan HealthUniversity of New BrunswickUniversity Health NetworkUniversity of TorontoSt. Francis Xavier UniversityCanada Research ChairsUniversity of British ColumbiaUniversity of AlbertaUniversity of Saskatchewan
FundersSaskatchewan Health Research Foundation
KeywordsMedicineProtocol (science)GerontologyPhysical therapyPhysical medicine and rehabilitationAlternative medicinePathology

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 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)0.012
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.034
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.012
Meta-epidemiology (narrow)0.0050.003
Meta-epidemiology (broad)0.0060.005
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0340.007

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 head0.071
GPT teacher head0.441
Teacher spread0.371 · 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 designRandomized trial
Domainnot available
GenreProtocol

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

Citations3
Published2022
Admission routes2
Has abstractno

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Same venueJournal of Geriatric OncologySame topicBalance, Gait, and Falls PreventionFrench-language works237,207