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Record W2158102018 · doi:10.1212/wnl.0b013e3182377e5d

Teaching Neuro <i>Images</i> : Perineural spread of basal cell carcinoma along the trigeminal nerve

2011· article· en· W2158102018 on OpenAlexaff
Amadeo R. Rodriguez, Ryan Rebello

Bibliographic record

VenueNeurology · 2011
Typearticle
Languageen
FieldMedicine
TopicNonmelanoma Skin Cancer Studies
Canadian institutionsMcMaster UniversityMcMaster University Medical Centre
Fundersnot available
KeywordsTrigeminal nerveBasal cell carcinomaPerineural invasionMedicineAnatomyBasal (medicine)PathologyNeuroscienceBasal cellBiologyInternal medicineCancer

Abstract

fetched live from OpenAlex

A 72-year-old man presented with painless left cheek and upper lip paresthesias for 1 year.A basal cell carcinoma had been resected from the left lower lid 2 years before.He had hypesthesia in the left V2-V3 distribution.MRI demonstrated findings suggestive of perineural spread (figures 1 and 2).Local radiation arrested the process.Perineural spread occurs in 2.5%-5% of head and neck cancers, 1 particularly in basal and squamous cell carcinomas. 2 This phenomenon commonly affects the trigeminal or facial nerves.The insidious nature of the symptoms and the history of previous resection of a facial tumor should raise the suspicion of this disorder, and help differentiate it from more common trigeminal neuropathies.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0350.006

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 head0.024
GPT teacher head0.250
Teacher spread0.226 · 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 designCase report
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

Citations2
Published2011
Admission routes1
Has abstractyes

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