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Record W3036725823 · doi:10.1111/pedi.13069

<scp>Long‐acting</scp> contraception in adolescents and young women with type 1 and type 2 diabetes

2020· review· en· W3036725823 on OpenAlex
Abril Salinas, Paulina M. Merino, Franco Giraudo, Ethel Codner

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

VenuePediatric Diabetes · 2020
Typereview
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsJuvenile Diabetes Research Foundation
FundersFondo Nacional de Desarrollo Científico y Tecnológico
KeywordsMedicinePregnancyHormonal contraceptionType 1 diabetesType 2 diabetesDiabetes mellitusFamily planningProgestinUnintended pregnancyObstetricsYoung adultGynecologyPopulationHormoneEndocrinologyGerontologyResearch methodologyEnvironmental health

Abstract

fetched live from OpenAlex

Adolescent pregnancy is a major public health problem worldwide. Adolescents living with diabetes are not aware of the risks of unplanned pregnancy and the high rate of fetal and maternal complications when gestation occurs in women with significant hyperglycemia. These data highlight the significance of pregnancy prevention in young women with diabetes. Long-acting reversible contraceptives (LARCs), which include subdermal progestin implants and hormonal and nonhormonal intrauterine devices (IUDs), have been recommended by the American College of Obstetricians Gynecologists and the American Academy of Pediatrics as a first-line contraceptive option for adolescents and young women. This article reviews LARC options for adolescents and young women with type 1 (T1D) and type 2 (T2D) diabetes as well as the possible complications and side effects.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.500
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.282
Teacher spread0.263 · 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