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Record W2396715364 · doi:10.3324/haematol.2016.146126

Immunoglobulin heavy and light chain gene features are correlated with primary cold agglutinin disease onset and activity

2016· letter· en· W2396715364 on OpenAlex
A. Ma ecka, Gunhild Trøen, Anne Tierens, Ingunn Østlie, J. Ma ecki, Ulla Randen, Sigbjørn Berentsen, Geir E. Tjønnfjord, Jan Delabie

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

VenueHaematologica · 2016
Typeletter
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsUniversity of TorontoUniversity Health Network
FundersHelse Sør-Øst RHFKreftforeningen
KeywordsCold agglutinin diseaseAntibodyImmunoglobulin light chainCold AgglutininImmunoglobulin heavy chainGeneDiseaseImmunologyMedicineBiologyGeneticsPathologyAutoantibody

Abstract

fetched live from OpenAlex

Immunoglobulin heavy chain ( IGH ) and light chain gene sequences of 27 patients with primary cold agglutinin disease (CAD) were studied to find features explaining the heterogeneity of clinical presentation and disease activity. CAD is a hemolytic anemia mediated by monoclonal IgM anti-I

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.501
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.009
GPT teacher head0.206
Teacher spread0.197 · 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