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Record W2016402433 · doi:10.1182/blood-2014-06-581983

Building bridges to diagnosis and malignancy

2014· article· en· W2016402433 on OpenAlexaff
Rosanne St. Bernard, Cyrus C. Hsia

Bibliographic record

VenueBlood · 2014
Typearticle
Languageen
FieldMedicine
TopicHematological disorders and diagnostics
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsMedicinePrednisoneRheumatoid arthritisMethotrexateComplete blood countMeloxicamInternal medicineGastroenterologyMalignancyHemoglobin

Abstract

fetched live from OpenAlex

![Figure][1] A 68-year-old woman with rheumatoid arthritis controlled with methotrexate, meloxicam, and prednisone was found to have chronic anemia and thrombocytopenia. Her complete blood count panel showed a white blood cell level of 4.8 × 109/L, neutrophils 2.2 × 109/L, hemoglobin 106 g/

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)0.005
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.043
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0030.005
Scholarly communication0.0050.012
Open science0.0020.009
Research integrity0.0080.019
Insufficient payload (model declined to judge)0.0430.022

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 head0.017
GPT teacher head0.274
Teacher spread0.257 · 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 designNot applicable
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

Citations0
Published2014
Admission routes1
Has abstractyes

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