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Record W4235929751 · doi:10.1097/dss.0000000000000850

Development and Validation of a Photonumeric Scale for Evaluation of Volume Deficit of the Hand

2016· article· en· W4235929751 on OpenAlex
Derek Jones, Lisa Donofrio, Bhushan Hardas, Diane K. Murphy, Jean Carruthers, Alastair Carruthers, Jonathan M. Sykes, Lela Creutz, Ann Marx, Sara Dill

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDermatologic Surgery · 2016
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsUniversity of British Columbia
FundersAllergan
KeywordsInter-rater reliabilityConfidence intervalIntra-rater reliabilityKappaMedicineReliability (semiconductor)Rating scaleScale (ratio)Mean differenceSignificant differenceNuclear medicinePhysical therapyOrthodonticsStatisticsMathematicsInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: A validated scale is needed for objective and reproducible comparisons of hand appearance before and after treatment in practice and clinical studies. OBJECTIVE: To describe the development and validation of the 5-point photonumeric Allergan Hand Volume Deficit Scale. METHODS: The scale was developed to include an assessment guide, verbal descriptors, morphed images, and real-subject images for each grade. The clinical significance of a 1-point score difference was evaluated in a review of image pairs representing varying differences in severity. Interrater and intrarater reliability was evaluated in a live-subject validation study (N = 296) completed during 2 sessions occurring 3 weeks apart. RESULTS: A score difference of ≥1 point was shown to reflect a clinically significant difference (mean [95% confidence interval] absolute score difference, 1.12 [0.99-1.26] for clinically different image pairs and 0.45 [0.33-0.57] for not clinically different pairs). Intrarater agreement between the 2 validation sessions was almost perfect (mean weighted kappa = 0.83). Interrater agreement was almost perfect during the second session (0.82, primary end point). CONCLUSION: The Allergan Hand Volume Deficit Scale is a validated and reliable scale for physician rating of hand volume deficit.

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.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.608
Threshold uncertainty score0.103

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.093
GPT teacher head0.329
Teacher spread0.236 · 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