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Record W2060394780 · doi:10.1067/mhn.2003.64

A Reliable Radiologic Landmark for the Facial Nerve in Axial Temporal Bone Computed Tomography Scans

2003· article· en· W2060394780 on OpenAlexaff
Manohar Bance, Jason Erb

Bibliographic record

VenueOtolaryngology · 2003
Typearticle
Languageen
FieldMedicine
TopicFacial Nerve Paralysis Treatment and Research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsFacial nerveTemporal boneAnatomyMedicineCochlea

Abstract

fetched live from OpenAlex

OBJECTIVE: We sought to test the reliability of a radiologic marker in identifying the vertical portion of the facial nerve in axial computed tomography (CT) temporal bone scans. STUDY DESIGN AND SETTING: At a tertiary care academic center, we used, with a random sample of 25 CT scans, a marker (the "B-line") to identify the facial nerve. The variations in distance from this marker to the facial nerve were measured. RESULTS: This marker, which consists of a tangent line extrapolated from the posterior border of the basal turn of the cochlea, fell within 1 mm of the facial nerve on average. The average distance from the midpoint of the posterior border of the basal turn of the cochlea to the facial nerve was 11 +/- 1 mm. CONCLUSION: This is a very reliable marker for the vertical portion of the facial nerve. SIGNIFICANCE: This marker can be used to rapidly find the facial nerve, even in diseased or postsurgical temporal bones.

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 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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.425

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.025
GPT teacher head0.295
Teacher spread0.269 · 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 teacher head, 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

Citations6
Published2003
Admission routes1
Has abstractyes

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