MétaCan
Menu
Back to cohort
Record W2344963236 · doi:10.1097/dss.0000000000000749

A Multimodal Approach to Rejuvenation of the Lower Face

2016· article· en· W2344963236 on OpenAlex
Jean Carruthers, Alastair Carruthers

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
TopicFacial Rejuvenation and Surgery Techniques
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRejuvenationFacial rejuvenationSkin AgingMedicineFace (sociological concept)RhytidoplastyPsychological interventionMultimodal therapyCosmetic TechniquesPhysical medicine and rehabilitationOrthodonticsPsychologySurgeryDermatology

Abstract

fetched live from OpenAlex

BACKGROUND: Facial aging is multifactorial, including changes in all the anatomical layers of the face including bone, fat, connective tissues and skin. METHODS: An evaluation of the multifactorial causation of facial aging pointed to the need for a multifactorial approach to restoration and rejuvenation of the aging human face. RESULTS: The varied aetiologies of the expressions of facial aging require more interventions than a unipolar approach. Combinations of neuromodulators, three and two-dimensional fillers and energy based devices were discussed. Surgical interventions were also discussed but were not addressed in this paper. CONCLUSIONS: A multimodal approach to lower facial rejuvenation and restoration is discussed as the most effective and appropriate method to achieve noninvasive aesthetic treatment success.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.206

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.032
GPT teacher head0.268
Teacher spread0.237 · 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