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Record W3157866779 · doi:10.1016/j.jtct.2021.04.013

Return to Work Among Young Adult Survivors of Allogeneic Hematopoietic Cell Transplantation in the United States

2021· article· en· W3157866779 on OpenAlexaff
Neel S. Bhatt, Ruta Brazauskas, Rachel B. Salit, Karen L. Syrjala, Stephanie Bo‐Subait, Heather R. Tecca, Sherif M. Badawy, K. Scott Baker, Amer Beitinjaneh, Nelli Bejanyan, Michael Byrne, Ajoy Dias, Nosha Farhadfar, César O. Freytes, Siddhartha Ganguly, Shahrukh K. Hashmi, Robert J. Hayashi, Sanghee Hong, Yoshihiro Inamoto, Kareem Jamani, Kimberly A. Kasow, Nandita Khera, Maxwell M. Krem, Hillard M. Lazarus, Catherine J. Lee, Stephanie J. Lee, Navneet S. Majhail, Adriana K. Malone, David I. Marks, Lih-Wen Mau, Samantha Mayo, Lori Muffly, Sunita Nathan, Taiga Nishihori, Kristin Page, Jaime M. Preussler, Hemalatha G. Rangarajan, Seth J. Rotz, Nina Salooja, Bipin N. Savani, Raquel M. Schears, Tal Schechter‐Finkelstein, Gary J. Schiller, Ami J. Shah, Akshay Sharma, Trent Wang, Baldeep Wirk, Minoo Battiwalla, Hélène Schoemans, Betty K. Hamilton, David Buchbinder, Rachel Phelan, Bronwen E. Shaw

Bibliographic record

VenueTransplantation and Cellular Therapy · 2021
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsUniversity of TorontoHospital for Sick ChildrenUniversity of Calgary
FundersNational Center for Advancing Translational SciencesOffice of Naval ResearchLegend BiotechPharmacyclicsTakeda OncologySanofi GenzymeMerck Sharp and DohmeU.S. Public Health ServiceGenentechHealth Resources and Services AdministrationNational Institutes of HealthAstellas PharmaKite PharmaMeiji Seika PharmaDaiichi-SankyoVertex PharmaceuticalsOmeros CorporationPfizerIncyteKiadis Pharmabluebird bioKyowa Kirin Pharmaceutical DevelopmentNational Institute of Allergy and Infectious DiseasesAngiocrine BioscienceCancer MoonshotMedical College of WisconsinStemCyteBristol-Myers SquibbCSL BehringNational Heart, Lung, and Blood InstituteNovartis Pharmaceuticals CorporationCelgeneActinium PharmaceuticalsDaiichi Sankyo EuropeNational Cancer InstituteServierGilead SciencesAbbVieMoonshot Research and Development ProgramSanofiAmgenJazz PharmaceuticalsIntel CorporationAstellas Pharma US
KeywordsMedicinePsychosocialTransplantationHematopoietic cellConfidence intervalYoung adultOdds ratioPopulationComorbidityLogistic regressionGerontologyInternal medicinePsychiatryHaematopoiesisStem cell

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)0.000
metaresearch head score (Gemma)0.001
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 score0.065
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.260
Teacher spread0.243 · 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

Citations25
Published2021
Admission routes1
Has abstractno

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