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Record W4252726069 · doi:10.1002/pon.5638

Posters

2021· article· en· W4252726069 on OpenAlexfundno aff
Lila M. Pereira

Bibliographic record

VenuePsycho-Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsnot available
FundersNational Institute on Minority Health and Health DisparitiesNational Cancer InstituteFonds pour la Formation à la Recherche dans l’Industrie et dans l’AgricultureUniversity of WashingtonUniversity of California, Los AngelesPerelman School of Medicine, University of PennsylvaniaU.S. Forest ServiceUniversity of Texas MD Anderson Cancer CenterCenters for Disease Control and PreventionCity University of New YorkNational Institutes of HealthCancer Research InstituteRising Tide Foundation for Clinical Cancer ResearchDalhousie UniversityTides FoundationSylvester Comprehensive Cancer Center, University of Miami Health SystemsCity of HopeKaiser PermanenteSchool of Medicine and Public Health, University of Wisconsin-MadisonComprehensive Cancer Center at Wake Forest Baptist Medical CenterTemple UniversityCleveland ClinicMoffitt Cancer CenterClaude Pepper Older Americans Independence Center, Wake Forest School of MedicineUniversity of California, IrvineMedical College of WisconsinUniversity of South FloridaRush UniversityUniversity of Texas at AustinUniversity of ConnecticutBrigham and Women's HospitalUniversity of ArizonaMemorial Sloan-Kettering Cancer CenterUniversity of HoustonUniversity of Texas Southwestern Medical CenterUniversity of Wisconsin-MilwaukeeCanadian Institutes of Health ResearchUniversity of North Carolina at CharlotteUniversity of Southern CaliforniaNemours FoundationAmerican Cancer SocietyAmerican Nurses FoundationChildren's Hospital of PhiladelphiaH. Lee Moffitt Cancer Center and Research InstituteMichigan State UniversityFordham UniversityPatient-Centered Outcomes Research InstituteYale UniversityMassachusetts General HospitalVirginia Commonwealth UniversityArizona State University
KeywordsComputer science

Abstract

fetched live from OpenAlex

Background/Purpose: Many adolescent and young adult female (AYA-F) cancer survivors face infertility risks after gonadotoxic treatments and may need to consider alternative family-building options. Uncertainty, distress, and avoidant coping may impact AYA-Fs' confidence in making decisions about parenthood. This study evaluated relationships among fertility-related information needs, reproductive concerns, avoidant behaviors, and decision self-efficacy about family-building after cancer.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.520
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.044
GPT teacher head0.383
Teacher spread0.339 · 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 teacher head, not a consensus.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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