MétaCan
Menu
Back to cohort
Record W4280597826 · doi:10.1080/10428194.2022.2076848

Differential use of the hematopoietic cell transplantation-comorbidity index among adult and pediatric transplant physicians

2022· letter· en· W4280597826 on OpenAlexfundno aff
Larisa Broglie, Brian D. Friend, Saurabh Chhabra, Caitrin Bupp, Gary J. Schiller, Brent R. Logan, Marcelo C. Pasquini, Bipin N. Savani, Edward A. Stadtmauer, Monica S. Thakar, Mohamed L. Sorror

Bibliographic record

VenueLeukemia & lymphoma/Leukemia and lymphoma · 2022
Typeletter
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesOffice of Naval ResearchAbbVie CanadaSanofi GenzymeGenentechHealth Resources and Services AdministrationCytoSen TherapeuticsMorphoSysKyowa Hakko KirinVertex PharmaceuticalsOmeros CorporationBristol-Myers SquibbInstituto Nacional de CancerologíaAdaptive BiotechnologiesIncyteKiadis Pharmabluebird bioMedical College of WisconsinStemCyteCSL BehringKaryopharm TherapeuticsNational Cancer InstituteGilead SciencesCareDxNational Heart, Lung, and Blood InstituteNovartis Pharmaceuticals CorporationDaiichi-SankyoAccentureMerckGlaxoSmithKlineBe The Match FoundationSeagenAstellas Pharma USMedacJazz PharmaceuticalsNational Marrow Donor Program
KeywordsMedicineFamily medicineHealth careManagementBusinessPolitical scienceLaw

Abstract

fetched live from OpenAlex

Hematopoietic cell transplantation-comorbidity index (HCT-CI) was developed to evaluate comorbidity burden before HCT and to provide prognostic information about transplant outcomes [1]. Developmen...

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)0.000
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0220.001

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 head0.011
GPT teacher head0.208
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

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
GenreOther

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

Citations4
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueLeukemia & lymphoma/Leukemia and lymphomaSame topicHematopoietic Stem Cell TransplantationFrench-language works237,207