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Larynx

2017· other· en· W2998405145 on OpenAlex
James D. Brierley, Mary Gospodarowicz, Christian Wittekind

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

VenueTNM Online · 2017
Typeother
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsEpiglottisAnterior commissureGlottisSubglottisLarynxMedicineCervical lymph nodesAnatomyLymphPosterior commissureArytenoid cartilageCommissurePhysical examinationRadiologyMetastasisPathologyCancerInternal medicine

Abstract

fetched live from OpenAlex

Abstract The classification applies only to carcinomas. There should be histological confirmation of the disease. Procedures for assessing T, N and M categories are T categories, physical examination, laryngoscopy and imaging; N categories, physical examination and imaging; and M categories, physical examination and imaging. Anatomical sites and subsites include supraglottis (suprahyoid epiglottis, aryepiglottic fold, laryngeal aspect, arytenoid, infrahyoid epiglottis and ventricular bands), glottis (vocal cords, anterior commissure and posterior commissure) and subglottis. Regional lymph nodes are the cervical nodes. TNM clinical classification includes T, primary tumor; N, regional lymph nodes; and M, distant metastasis.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.021
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0110.000

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 head0.043
GPT teacher head0.370
Teacher spread0.327 · 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