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Record W2627073980 · doi:10.1111/adj.12481

The mandibular muscles in contemporary orthodontic practice: a review

2017· review· en· W2627073980 on OpenAlex
Michael Woods

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

VenueAustralian Dental Journal · 2017
Typereview
Languageen
FieldDentistry
TopicOrthodontics and Dentofacial Orthopedics
Canadian institutionsRoyal Ottawa Mental Health Centre
Fundersnot available
KeywordsMandible (arthropod mouthpart)MedicineOrthodonticsMandibular archFacial musclesDentistryDental archArchAnatomyBiologyEngineering

Abstract

fetched live from OpenAlex

It is widely accepted that all dentists should have a thorough understanding of the muscles involved in moving or stabilizing the mandible. However, there is still much discussion regarding the influence of the mandibular muscles on normal facial growth and dental development, as well as on orthodontic treatment and post-treatment stability. Potential patients with different underlying vertical muscle patterns will have differences in the expected directions of future mandibular growth, lateral profile shape, facial and arch widths and vertical occlusal relationships. In turn, thorough diagnoses are likely to lead to differences in individual aims and objectives, treatment plans, timing of commencement, mechanical design, lateral profile and smile-aesthetics outcomes, choice of retention and plans for long-term maintenance. The potential influence of the mandibular muscles on normal morphologic variation and the soft tissue implications on contemporary orthodontic treatment and stability will be addressed in this review.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.861
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.001

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 head0.271
GPT teacher head0.486
Teacher spread0.215 · 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