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Record W1578343902 · doi:10.1002/0471463736.tnmp43

Non‐ <scp>H</scp> odgkin's Malignant Lymphoma

2003· other· en· W1578343902 on OpenAlexaff
Michael Crump, Mary Gospodarowicz

Bibliographic record

VenueTNM Online · 2003
Typeother
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsUniversity Health NetworkPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsLymphomaDiseasePathologicalImmunologyImmune systemMedicineBiologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract The non‐Hodgkin's lymphomas (NHLs) are a diverse group of diseases with large variation in tumor biology and course of disease. The 1980s and 1990s brought a great increase in our knowledge of the biology of the immune system. Insights into the immunology and molecular genetics of NHL have led to the recognition of a number of new pathological entities, with unique natural histories. In addition, the clinical approach to patients with NHL has relied increasingly on aggregate assessment of prognostic factors, rather than single attributes such as disease stage, presence of extranodal involvement, presence of constitutional symptoms, or specific biochemical abnormalities. Furthermore, it is increasingly recognized that these biological attributes are surrogate measures of a tumor's growth and invasion potential, the host's response to the tumor, and the host's ability to tolerate treatment. A better understanding of the significance of molecular and immunological attributes of lymphoma will hopefully replace these clinical surrogates in refining NHL's prognosis and therapy more precisely in the future.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0080.003

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 head0.015
GPT teacher head0.266
Teacher spread0.251 · 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; both teacher heads agree on what is shown here.

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
Published2003
Admission routes1
Has abstractyes

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