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Record W1995276097 · doi:10.2182/cjot.2010.77.1.6

Test-Retest Reliability of the GAPP Functional Capacity Evaluation in Healthy Adults

2009· article· en· W1995276097 on OpenAlexvenueno aff
Elizabeth Gibson, Monica Dang, Jenny Strong

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2009
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsReliability (semiconductor)Core stabilityRehabilitationWork (physics)Test (biology)Physical therapyPsychologyCore (optical fiber)Physical medicine and rehabilitationMedicineComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Functional capacity evaluations are commonly used in work rehabilitation practice to assess a person's capacity to perform work-related activities. PURPOSE: This study examined the test-retest reliability of participants' performance and administrator ratings using the Gibson Approach to Functional Capacity Evaluation (GAPP FCE). METHODS: Forty-eight healthy adults were evaluated twice on 12 recommended core items of the GAPP FCE and rated for overall performance. FINDINGS: The ICCs and 95% CIs for the Physical Level of Work and Alternative Physical Level of Work Ratings were 0.93 (0.87-0.96) and 0.86 (0.72-0.93) respectively. The ICCs for the core item-level ratings ranged from 0.15 to 0.94, and the ICCs for the actual loads handled in the manual handling items ranged from 0.88 to 0.95. IMPLICATIONS: The stability of an overall physical level of work rating shows potential for use in functional capacity evaluation practice and research. Further research is needed to investigate other measurement properties of the GAPP FCE using populations with injury or disability.

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)0.010
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.082
GPT teacher head0.353
Teacher spread0.271 · 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 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

Citations2
Published2009
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Occupational TherapySame topicMusculoskeletal pain and rehabilitationFrench-language works237,207