MétaCan
Menu
Back to cohort
Record W2004077494 · doi:10.1080/09593980500321119

The reliability of the time to execute various forms of the Finger-to-Nose Test in healthy subjects

2005· article· en· W2004077494 on OpenAlexaff
Bonnie Swaine, Élise Lortie, Denis Gravel

Bibliographic record

VenuePhysiotherapy Theory and Practice · 2005
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsCentre for Interdisciplinary Research in RehabilitationUniversité de Montréal
Fundersnot available
KeywordsTest (biology)Reliability (semiconductor)MedicinePhysical medicine and rehabilitationNosePhysical therapyPsychologyComputer scienceSurgeryBiology

Abstract

fetched live from OpenAlex

The objective of this study was to establish reliability estimates of different versions of the Finger-to-Nose test (FNT) using the generalisability theory. Generalizability theory was used to estimate the relative contribution of trials and occasions to the total measurement error and to generate reliability coefficients. Forty-two healthy adults (aged 20-63 yrs old) free of arm pain or other pathology participated. Participants performed 10 versions of the FNT during two evaluation sessions separated by a 24-hour interval. The time (s) to perform five trials of each version was recorded. The mean reliability coefficient for the one-occasion/one-trial testing situation among the test versions was 0.79 (range = 0.77-0.82). For all versions, the principal source of variance of the test performances came from the participants; minimally important sources of measurement error were also associated with occasion and the interaction effects between participants and occasion. Number of trials was not found to be an important source of error. The 10 versions of the FNT under investigation provide reliable measures of upper limb coordination among healthy adults when assessed by the one evaluator generalised across two days. These results are important to the development of norms for this measure.

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.496
Threshold uncertainty score0.800

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.309
Teacher spread0.303 · 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.

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

Citations18
Published2005
Admission routes1
Has abstractyes

Explore more

Same venuePhysiotherapy Theory and PracticeSame topicOrthopedic Surgery and RehabilitationFrench-language works237,207