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Record W2089669012 · doi:10.4103/0973-1482.44293

Mucosal melanoma of nasal cavity and paranasal sinus

2008· article· en· W2089669012 on OpenAlexaff
Raghav C. Dwivedi, Ravi C. Dwivedi, Rehan Kazi, Sumit Kumar, SatyaP Agarwal

Bibliographic record

VenueJournal of Cancer Research and Therapeutics · 2008
Typearticle
Languageen
FieldVeterinary
TopicInfectious Diseases and Mycology
Canadian institutionsResearch Manitoba
Fundersnot available
KeywordsMedicineNasal cavityMucosal melanomaParanasal sinusesMelanomaSinus (botany)Treatment modalityTherapeutic modalitiesDermatologyModalitiesDistant metastasisMetastasisRadiologySurgeryInternal medicineCancerCancer research

Abstract

fetched live from OpenAlex

Mucosal melanoma of the nasal cavity and paranasal sinuses is seldom encountered in routine ENT practice. These tumors have poor prognosis owing to higher rates of locoregional recurrence and distant metastasis. Various treatment modalities have been employed over time but the ideal treatment approach still remains an open issue. This article presents some commonly accepted guidelines in treating these rare mucosal neoplasms.

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)0.000
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 score0.128
Threshold uncertainty score0.257

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)0.0000.000

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 head0.156
GPT teacher head0.446
Teacher spread0.290 · 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

Citations12
Published2008
Admission routes1
Has abstractyes

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