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Record W2321999105 · doi:10.1532/lh96.12023

Rapid Separation of Mononuclear Hodgkin from Multinuclear Reed-Sternberg Cells

2014· article· en· W2321999105 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLaboratory Hematology · 2014
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsCentre Hospitalier Universitaire de SherbrookeUniversité de SherbrookeUniversity of ManitobaCancerCare Manitoba
Fundersnot available
KeywordsReed–Sternberg cellBone marrowMultinucleatePeripheral blood mononuclear cellPathologyLymph nodeLymphomaLymph node biopsyHodgkin lymphomaLymphHaematopoiesisMedicineBiologyStem cellCell biologyBiochemistry

Abstract

fetched live from OpenAlex

We describe a method to isolate small mononucleated Hodgkin (H) cells from multinucleated Reed Sternberg (RS) cells of Hodgkin lymphoma using the ScreenCell filter device. This filtration-based approach lends itself to future clinical applications in that it enables the separation of H and RS cells from lymph node biopsies, bone marrow aspirates, pleural effusions, and blood, including the isolation of monoclonal Hodgkin precursor cells from the blood.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.383
Threshold uncertainty score0.627

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.256
Teacher spread0.246 · 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