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Record W2023425534 · doi:10.1177/1043454208314459

Discussions Regarding Sperm Banking With Adolescent and Young Adult Males Who Have Cancer

2008· article· en· W2023425534 on OpenAlexafffund
Kim Nagel, Michael S. Neal

Bibliographic record

VenueJournal of Pediatric Oncology Nursing · 2008
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsHamilton Health SciencesMcMaster Children's Hospital
FundersMcMaster UniversityUniversity of Michigan
KeywordsSperm bankFertility preservationFertilityMultidisciplinary teamMultidisciplinary approachMedicineSpermCancerFamily medicineNursingOncologyGynecologyInternal medicineEnvironmental healthPopulation

Abstract

fetched live from OpenAlex

With improved survival rates among cancer patients, attention to fertility preservation is of paramount importance. An open-ended survey was used to question oncology and reproductive health nurses regarding their interactions with male adolescents and young adults with cancer about sperm banking. Four main areas of interest were identified: (a) key staff need to be identified to initiate discussions about sperm banking, (b) most staff felt unprepared for these discussions, (c) staff education was needed, and (d) provision of educational materials would benefit both staff and patients. The use of sperm banking, as part of the treatment protocol for adolescent and young adult males with cancer, requires the expertise and cooperation of a multidisciplinary team of experts from both oncology and fertility. Because nurses are the primary contacts with patients, nurses' role in promoting the discussion around sperm banking is crucial.

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)0.006
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.030
GPT teacher head0.330
Teacher spread0.301 · 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 designQualitative
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

Citations38
Published2008
Admission routes2
Has abstractyes

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