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Record W2028456773 · doi:10.1249/jsr.0b013e31829a6f7e

Integrating Exercise Is Medicine® into the Care of Pregnant Women

2013· article· en· W2028456773 on OpenAlexaff
Elizabeth A. Joy, Michelle F. Mottola, Heather Chambliss

Bibliographic record

VenueCurrent Sports Medicine Reports · 2013
Typearticle
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsChildren’s Health Research InstituteWestern University
Fundersnot available
KeywordsMedicinePregnancyGestational diabetesPhysical activitySports medicinePhysical therapyPrenatal careObstetricsAlternative medicineDiabetes mellitusGestationPopulation

Abstract

fetched live from OpenAlex

A majority of women do not meet the recommended levels of physical activity before and during pregnancy. Physically active women experience fewer complications of pregnancy such as gestational diabetes, hypertensive disorders of pregnancy, and low back pain, to name only a few. Exercise is Medicine encourages adults to achieve a minimum of 150 min·wk of moderate-intensity physical activity, and the same is true for women having uncomplicated pregnancies. Prenatal care is an opportune time to counsel women on how to achieve an active lifestyle to support their own health and the health of their developing fetus.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.319
Teacher spread0.302 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations20
Published2013
Admission routes1
Has abstractyes

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