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Record W4230499548 · doi:10.1309/93vfm8cy06ke6fd6

Acute Myeloid Leukemia With Pseudo–Chédiak-Higashi Anomaly Exhibits a Specific Immunophenotype With CD2 Expression

2006· article· en· W4230499548 on OpenAlexaff
Hong Chang, Qi Long Yi

Bibliographic record

VenueAmerican Journal of Clinical Pathology · 2006
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsImmunophenotypingMyeloid leukemiaMyeloidLeukemiaMedicinePathologyBiologyCancer researchImmunologyFlow cytometry

Abstract

fetched live from OpenAlex

Acute myeloid leukemia (AML) with pseudo–Chédiak-Higashi (PCH) anomaly is a rare morphologic entity. We characterized 5 cases by multiparameter flow cytometry and found that in all cases, the blasts aberrantly expressed CD2, a pan–T cell–associated marker, in addition to their myeloid-associated markers. In contrast, CD2 was expressed in only 25 (17.9%) of 140 cases of newly diagnosed AML without PCH anomaly. CD2 expression correlated strongly with AML with PCH anomaly (P < .01), suggesting a link between a specific immunophenotypic marker, CD2, and AML with PCH anomaly.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score0.766

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.325
Teacher spread0.305 · 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 teacher head, 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

Citations5
Published2006
Admission routes1
Has abstractyes

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