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Record W28483875

Acute oropharyngeal effects of full-course radiation treatment of tumors of the head.

2008· article· en· W28483875 on OpenAlexaff
Erica B Collen, Monique N Mayer

Bibliographic record

VenuePubMed · 2008
Typearticle
Languageen
FieldMedicine
TopicEar and Head Tumors
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineSoft tissueRadiation therapyHead and neck cancerHead and neckRadiologyPathologyOncologySurgery
DOInot available

Abstract

fetched live from OpenAlex

In companion animals, a number of forms of cancer arise within the oral or nasal cavities, the brain, or other facial, aural, or rostral tissues. Cure or long-term control can be achieved in a good proportion of such cancers with early diagnosis and the appropriate selection and implementation of treatment modality. While a combination of therapies is often required to enhance outcome, full-course external beam radiation treatment has proven to be a valuable component in the treatment of several of these malignancies. For instance, adenocarcinomas, lymphomas, mast cell tumors, melanomas, meningiomas, plasmacytomas, soft tissue sarcomas, squamous cell carcinomas, and acanthomatous ameloblastomas have shown benefit from the use of radiation. A full-course radiation protocol generally involves 3 to 4 wk of daily treatments.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.018
GPT teacher head0.254
Teacher spread0.237 · 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 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

Citations9
Published2008
Admission routes1
Has abstractyes

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