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Record W4407227498 · doi:10.1016/j.esmoop.2024.104121

Sinonasal malignancy: ESMO–EURACAN Clinical Practice Guideline for diagnosis, treatment and follow-up

2025· article· en· W4407227498 on OpenAlexaff
Carlo Resteghini, B. Baujat, Paolo Bossi, Alessandro Franchi, L. de Gabory, Jana Halámková, Frank Haubner, José A. Hardillo, Mario Hermsen, Nicola Alessandro Iacovelli, Roberto Maroldi, Stefan Mattheis, Antoine Moya‐Plana, Piero Nicolai, Ester Orlandi, Juliette Thariat, Annalisa Trama, Michiel W. M. van den Brekel, Carla M.L. van Herpen, Benjamin Vérillaud, E. Kinloch, Lisa Licitra, Caroline Even

Bibliographic record

VenueESMO Open · 2025
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutionsSurgical Specialties (Canada)
FundersSwedish Orphan BiovitrumEuropean Society for Medical OncologyEisaiSeagenIncyteMultinational Association of Supportive Care in CancerAmerican Society of Clinical OncologyAstraZenecaEuropean SocieTy for Radiotherapy and OncologyRegeneron PharmaceuticalsMedpaceAssociazione Italiana di Oncologia MedicaGilead SciencesSanofiCelgeneAdenoid Cystic Carcinoma Research FoundationPfizer
KeywordsGuidelineMedicineMalignancyClinical PracticeIntensive care medicineInternal medicinePhysical therapyPathology

Abstract

fetched live from OpenAlex

CA extern

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)0.003
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0070.007

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 head0.085
GPT teacher head0.492
Teacher spread0.407 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations28
Published2025
Admission routes1
Has abstractyes

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