MétaCan
Menu
Back to cohort
Record W2795537051 · doi:10.1177/0194599818766317

Jaw Opening Decreases Window to the Deep Parotid Lobe

2018· article· en· W2795537051 on OpenAlexaff
Y.-J. Lee, Uchechukwu C. Megwalu, Erick Melara, Vasu Divi, Vinay T. Fernandes, Davud Sirjani

Bibliographic record

VenueOtolaryngology · 2018
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Tumors Diagnosis and Treatment
Canadian institutionsUniversity of Toronto
FundersNational Center for Advancing Translational SciencesNational Institutes of Health
KeywordsMandible (arthropod mouthpart)CondyleAnatomyMastoid processParotid glandSymphysisOrthodonticsDentistryMedicineMathematicsBiology

Abstract

fetched live from OpenAlex

To describe the relationship between jaw opening and access to the deep parotid window, we identified the following distances in 10 human skulls: symphysis to angle of mandible, mastoid tip to angle of mandible, angle of mandible to condylar process, and mastoid tip to condylar process. With the jaw closed and open, these distances were measured with 1 to 3 wooden blocks, each measuring 1 cm, between the upper and lower incisors. The triangular deep parotid area formed by the last 3 distances was calculated. A repeated measures analysis of variance showed a significant decrease in the deep parotid area with increasing interincisal distance ( P < .01). A generalized estimating equation model demonstrated a statistically significant decreasing area of the deep parotid window with increasing interincisal distance. These results suggest that nasal intubation may improve access to the parotid window.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0020.000

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 head0.018
GPT teacher head0.289
Teacher spread0.270 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueOtolaryngologySame topicSalivary Gland Tumors Diagnosis and TreatmentFrench-language works237,207