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Record W4407992657 · doi:10.1016/j.clml.2025.02.011

Treatment Patterns and Outcomes of Multiple Myeloma Patients Undergoing Second-Line Therapy: A Canadian Myeloma Research Group (CMRG) Analysis

2025· article· en· W4407992657 on OpenAlexafffundabout
Arleigh McCurdy, Engin Gul, Donna Reece, Michael P. Chu, Víctor H. Jiménez‐Zepeda, Martha Louzada, Kevin Song, Hira Mian, Michaël Sébag, Darrell White, Julie Stakiw, Tony Reiman, Debra Bergstrom, Rami Kotb, Muhammad Aslam, Rayan Kaedbey, Christopher P. Venner, Jiandong Su, Richard LeBlanc

Bibliographic record

VenueClinical Lymphoma Myeloma & Leukemia · 2025
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsHôpital Maisonneuve-RosemontJewish General HospitalMemorial University of NewfoundlandSaint John Regional HospitalUniversité de MontréalUniversity of SaskatchewanDalhousie UniversityJuravinski Cancer CentreUniversity of British ColumbiaMcGill UniversityPrincess Margaret Cancer CentreVancouver General HospitalUniversity of CalgaryQueen Elizabeth II Health Sciences CentreUniversity of AlbertaSaskatchewan Cancer AgencyCancerCare ManitobaOttawa Regional Cancer FoundationOttawa Hospital
FundersJanssen CanadaJohnson and Johnson
KeywordsMedicineMultiple myelomaInternal medicineOncology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.006
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.064
GPT teacher head0.386
Teacher spread0.322 · 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 designObservational
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

Citations1
Published2025
Admission routes3
Has abstractno

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