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Record W6994229801

Lymphoma

2017· other· en· W6994229801 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueElectronic Kharkiv National University Institutional Repository (Kharkiv National University) · 2017
Typeother
Languageen
FieldSocial Sciences
TopicDigitalization, Law, and Regulation
Canadian institutionsnot available
Fundersnot available
KeywordsLymphomaDiseaseCancerMultiple myelomaEtiologyIncidence (geometry)LymphHodgkin lymphoma
DOInot available

Abstract

fetched live from OpenAlex

Lymphoma' modern understanding Lymphoma is any of a group of blood cell tumors that develop from lymphatic cells with the enlarged lymph nodes and signs and symptoms that may include enlarged lymph nodes, fever, night drenching sweats, unintended weight loss, itching, and feeling tired The two main categories of lymphomas are Hodgkin (HL) and the non-Hodgkin (NHL) lymphomas The World Health Organization (WHO) includes two other categories as types of lymphoma: multiple myeloma and immunoproliferative diseases https://en.wikipedia.org/wiki/LymphomaHODGKIN LYMPHOMA Definition Hodgkin (Hodgkin's) lymphoma or Hodgkin's disease, is a type of the most curable forms of lymphoma, in which cancer originates from the lymphocytes Hodgkin Lymphoma is named for Dr. Thomas Hodgkin, who first noted a trend of cancer cases in the lymph nodes in 1832 The disease was called Hodgkin's disease until it was officially renamed Hodgkin lymphoma in the late 20 th century https://www.lls.org/lymphomahttps://en.wikipedia.org/wiki/Hodgkin%27s_lymphomaEpidemiology Incidence of Hodgkin Lymphoma in the United States, by age http://www.cancernetwork.com/articles/hodgkin-lymphoma-older-patients-uncommon-disease-need-studyRisk factors and etiology 1 Epstein-Barr virus infection/mononucleosis (sometimes called mono for short) Age (HL is most common in early adulthood (ages 15 to 40, especially in a person's 20s) and in late adulthood (after age 55)) Gender (HD occurs slightly more often in males than in females) Geography (HD is most common in the United States, Canada, and northern Europe, and is least common in Asian countries) http://www.cancer.org/cancer/hodgkindisease/detailedguide/hodgkin-disease-risk-factorsDiagnosis 11 Genetic testing Some myeloma centers now employ genetic testing, which they call a "gene array" By examining DNA, oncologists can determine if patients are high risk or low risk of the cancer returning quickly following treatment https://en.wikipedia.org/wiki/Multiple_myeloma#Treatment

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.662
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.002
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.229
Teacher spread0.218 · 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