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Validated Assessment Scales for the Mid Face

2012· article· en· W1974185977 on OpenAlex

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 · 2012
Typearticle
Languageen
FieldMedicine
TopicFacial Rejuvenation and Surgery Techniques
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCheekInter-rater reliabilityIntra-rater reliabilityReliability (semiconductor)Rating scaleMedicineOrthodonticsGrading (engineering)PsychologySurgeryDevelopmental psychology

Abstract

fetched live from OpenAlex

BACKGROUND: The improvement of aesthetic treatment options for age-related mid face changes, such as volume loss, and the increase in patient expectations necessitates the development of more-complex and globally accepted assessment tools. OBJECTIVE: To develop three grading scales for objective assessment of the infraorbital hollow and upper and lower cheek fullness and to establish the reliability of these scales for clinical research and practice. METHODS AND MATERIALS: Three 5-point rating scales were developed to assess infraorbital hollow and upper and lower cheek fullness objectively. Twelve experts rated identical mid face photographs of 50 subjects in two separate rating cycles using the mid face scales. Test responses of raters were analyzed to assess intra- and interrater reliability. RESULTS: Interrater reliability was substantial for the infraorbital hollow, upper cheek fullness, and lower cheek fullness scales. Intrarater reliability was high for all three scales. Both of the cheek fullness scales yielded higher reliabilities when three rather than two views were used to assess the volume changes of the cheek. CONCLUSION: The mid face scales are reliable tools for valid and reproducible assessment of age-related mid face changes.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.438
Threshold uncertainty score0.305

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.076
GPT teacher head0.357
Teacher spread0.282 · 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