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Record W4252495102 · doi:10.1002/9781119398929.ch4

ACUTE MYELOID LEUKAEMIA, MIXED PHENOTYPE ACUTE LEUKAEMIA, THE MYELODYSPLASTIC SYNDROMES AND HISTIOCYTIC NEOPLASMS

2019· other· en· W4252495102 on OpenAlexaff
FRACP Barbara J. Bain MBBS, MRCP David M. Clark, Bridget S. Wilkins DM

Bibliographic record

Venuenot available
Typeother
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsHistiocyteMyelodysplastic syndromesImmunophenotypingBone marrowPathologyMedicineLymphomaMyeloidclone (Java method)ImmunologyCancer researchBiologyAntigen

Abstract

fetched live from OpenAlex

Acute myeloid leukaemia (AML) is a disease resulting from the neoplastic proliferation of a clone of myeloid cells, characterized by uncoupling of proliferation and maturation. Immunophenotyping is widely applied in the diagnosis and classification of AML. It is likewise necessary for the recognition of mixed phenotype acute leukaemia (MPAL). In hypoplastic myelodysplastic syndromes (MDS) there may be some circulating blast cells and an inadequate bone marrow aspirate, whereas there is no increase in blast cells in aplastic anaemia. Lymphoid aggregates are sometimes present in MDS, giving rise to a differential diagnosis with non-Hodgkin lymphoma, particularly T-cell lymphoma, with associated dysplastic features. Histiocytic sarcoma differs from myeloid sarcoma with monocytic differentiation in that the neoplastic cells have features of tissue histiocytes rather than of promonocytes and monocytes. Juvenile xanthogranuloma is usually a clinically benign, localized condition but when the disease is disseminated the bone marrow may be involved.

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)0.001
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 score0.020
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0200.008

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 head0.271
Teacher spread0.256 · 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
Published2019
Admission routes1
Has abstractyes

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