Glukosebelastningstest i svangerskapet: en systematisk kartleggingsoversikt
Bibliographic record
Abstract
Hovedbudskap\nHelsedirektoratet har bedt Folkehelseinstituttet om å kartlegge forskning om hvilke erfaringer gravide har med å gjennomføre en glukosebelastningstest for å avdekke svangerskapsdiabetes.\nVi søkte systematisk i sju elektroniske databaser etter studier som omhandler gravides erfaringer med glukosebelastningstest for å avdekke svangerskapsdiabetes.\nVi inkluderte fire studier med til sammen 412 gravide som var blitt spurt om erfaring med eller mening om å få utført en glukosebelastningstest. Tre av studiene brukte spørreundersøkelse og i en studie ble kvinnene intervjuet. Studiene var utført i Australia, Canada, Tyskland og Sverige.\nVi fant også en studie som hadde intervjuet 17 gynekologer om deres erfaringer med å utføre glukosebelastningstest hos gravide. Denne studien var utført i Tyskland.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.010 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".