LOMBALGIA NA GRAVIDEZ: IMPACTO NAS ATIVIDADES DE VIDA DIÁRIAS
Bibliographic record
Abstract
Objective: The aim of this study is to analyze the impact on daily life activities (DLAs) of pregnant women with lumbar pain complaints, enrolled in the Family Health Strategy. Methods: To collect the data it was used an epidemiological questionnaire, adapted from the Quebec Back Pain Disability Scale (QBPDS), giving emphasis to questions about lumbar pain and Daily Life Activities (AVDs). To the data analysis it was applied the SPSS 16.0, for descriptive statistics of percentage and cross tabs. It was calculated the Prevalence ratio (RP) and the Kruskal-Wallis test, p<0.05 in order to verify the differences between the lumbar pain variable and gestational age. Results: 69.4% of the pregnant women had some activities harmed, especially those who reported feeling lumbar pain daily. All needed assistance to perform the tasks at home. Conclusion: The prevalence of lumbar pain during pregnancy interferes significantly in some daily life activities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".