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Record W3043510115 · doi:10.1080/26410397.2020.1790090

Health systems recovery from COVID-19: a window of opportunity for (in)fertility care

2020· article· en· W3043510115 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSexual and Reproductive Health Matters · 2020
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsSickKids FoundationCentre for Global Health ResearchHospital for Sick ChildrenPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsWindow of opportunityCoronavirus disease 2019 (COVID-19)PandemicFertilitySexual and reproductive health and rights2019-20 coronavirus outbreakReproductive healthSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Human rightsPolitical scienceHealth careWindow (computing)Reproductive rightsMedicineVirologyEnvironmental healthLawEngineeringComputer science

Abstract

fetched live from OpenAlex

From the onset, medical and human rights experts and organisations warned of the immediate and potential impacts of the COVID-19 pandemic on sexual and reproductive health and rights (SRHR). Yet most gave little or no attention to fertilityrelated health care,1 despite it affecting up to 180 million couples worldwide.2 Even before the pandemic, infertility was already one of the most understudied and underfunded aspects of SRHR.

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.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.401
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.109
GPT teacher head0.369
Teacher spread0.260 · 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