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Record W2795992519 · doi:10.1101/cshperspect.a029082

Autologous Hematopoietic Stem Cell Transplantation in the Treatment of Multiple Sclerosis

2018· review· en· W2795992519 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

VenueCold Spring Harbor Perspectives in Medicine · 2018
Typereview
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsTransplantationMedicineHematopoietic stem cell transplantationHematopoietic cellHematologyUniversity hospitalInternal medicineStem cellFamily medicineHaematopoiesisBiology

Abstract

fetched live from OpenAlex

Multiple sclerosis (MS) is an autoimmune disorder that typically affects young people during their most productive years, causing irreversible damage and accumulation of disability. Treatments over time have had modest effects at completely controlling or suppressing disease activity, but are generally aimed at controlling early dominating inflammation that, over time, accumulates damage and leads to progressive disability. Some unfortunate patients are destined to deteriorate despite even newer and more effective agents because of the inability of these drugs to fully curb the inflammatory component of the disease. These patients require something more that might be capable of halting the disease process. Using high-intensity myeloablative chemotherapeutic agents, it is now possible to completely remove the peripheral immune system and replace it anew from autologous bone marrow-derived hematopoietic stem cells, purged of disease-causing MS cells. This procedure, referred to as hematopoietic stem cell transplantation (HSCT), produces a new immune system that appears tolerant and no longer attacks the central nervous system (CNS).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.516
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.138
GPT teacher head0.364
Teacher spread0.226 · 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