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Record W1536389962 · doi:10.1007/978-1-59259-995-0_53

External Radiation Therapy of Papillary Cancer

2006· book-chapter· en· W1536389962 on OpenAlexaff
James D. Brierley, Richard Tsang

Bibliographic record

VenueHumana Press eBooks · 2006
Typebook-chapter
Languageen
FieldMedicine
TopicThyroid Cancer Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineRadiation therapyRadioactive iodinePapillary thyroid cancerThyroid cancerExternal beam radiotherapyExternal beam radiationRadical surgeryDiseaseCancerSurgeryRadiologyInternal medicineThyroidBrachytherapy

Abstract

fetched live from OpenAlex

External-beam radiotherapy (RT) in the management of papillary thyroid cancer can be subdivided regarding its purpose into adjuvant, radical, and palliative. The intent of adjuvant therapy is to improve the results of standard therapy that consists of surgery and radioactive iodine; however, its exact role is controversial. Unlike radioactive iodine, external-beam RT is a local therapy, which confines its impact to cases where a local treatment is required to maximize local regional control of the disease beyond what can be achieved with optimal surgery and radioactive iodine. Therefore, RT is generally limited to patients considered to have a high risk of locoregional recurrence, e.g., older patients with significant extrathyroidal extension of disease, residual disease following surgery, or extensive lymphatic spread.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.005

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 head0.058
GPT teacher head0.296
Teacher spread0.238 · 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
GenreOther

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

Citations0
Published2006
Admission routes1
Has abstractyes

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