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Record W1637482366 · doi:10.1002/0471142735.im22b02s80

Characterization of Mouse Hematopoietic Stem and Progenitor Cells

2008· article· en· W1637482366 on OpenAlexaff
Cindy Miller, Brad Dykstra, Connie J. Eaves

Bibliographic record

VenueCurrent Protocols in Immunology · 2008
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsTerry Fox Research InstituteBC Cancer AgencyStemcell Technologies
Fundersnot available
KeywordsHaematopoiesisProgenitor cellStem cellCell biologyBiologyProgenitorInterleukin 3ImmunologyImmune systemAntigen-presenting cellT cell

Abstract

fetched live from OpenAlex

The unit describes functional assays for the quantification of mouse hematopoietic stem cells and progenitor cells. The competitive repopulating unit (CRU) assay detects transplantable mouse hematopoietic stem cells with the capacity to regenerate all of the blood cell lineages for extended time periods in vivo. The long-term culture-initiating cell (LTC-IC) assay, founded on the bone marrow long-term culture system, measures primitive hematopoietic progenitors based on their capacity to produce myeloid progeny for at least four weeks. Colony-forming cell (CFC) assays, performed in semisolid medium cultures to assess mouse pre-B, megakaryocyte, erythroid, granulocyte-monocyte, and multipotential hematopoietic progenitors are also described. These assays are powerful tools for evaluating human stem cell (HSC) and progenitor content in various hematopoietic tissues, during development as well as in the adult animal, and in cell populations manipulated ex vivo.

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)0.000
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: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.044
GPT teacher head0.309
Teacher spread0.265 · 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
GenreMethods

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

Citations46
Published2008
Admission routes1
Has abstractyes

Explore more

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