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Record W2146758637 · doi:10.1136/jcp.2007.054379

Testing for JAK2 <sup>V617F</sup> mutation across specimen types yields concordant results

2008· letter· en· W2146758637 on OpenAlexaff
Imran Mirza, Donna M. Sekora, Catherine E. Frantz

Bibliographic record

VenueJournal of Clinical Pathology · 2008
Typeletter
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEssential thrombocythemiaPolycythemia veraMyelofibrosisBone marrowMyeloproliferative DisordersMedicineHaematopoiesisPathologyMutationMyeloidBiopsyInternal medicineStem cellBiologyGeneticsGene

Abstract

fetched live from OpenAlex

Chronic myeloproliferative neoplasms (CMPN) are a group of hematopoietic stem cell disorders associated with abnormal blood cell production and bone marrow (BM) morphology. Myeloid cells from the majority of polycythemia vera (PV) patients and approximately half of essential thrombocythemia (ET) and primary myelofibrosis (PMF) patients carry the JAK2 V617F mutation.1-3 Recent proposed revisions to the World Health Organization (WHO) diagnostic criteria for these disorders include the presence of JAK2V617F mutation as a major criterion for diagnosis.4 Although various studies have shown that JAK2 mutation testing can be successfully performed on peripheral blood (PB),1-3 bone marrow aspirate (BMA),5 or BM biopsy,6, 7 comparison of results across different sample types has not been performed.

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)0.001
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0070.003
Insufficient payload (model declined to judge)0.0070.008

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 head0.153
GPT teacher head0.433
Teacher spread0.280 · 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 designBench or experimental
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

Citations4
Published2008
Admission routes1
Has abstractyes

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