H1N1 and influenza viruses: why pregnant women might be hesitant to be vaccinated.
Bibliographic record
Abstract
QUESTION: I have been encouraging pregnant women to receive both the H1N1 and influenza vaccines since I became aware of Health Canada's guidelines. However, some of the women in my practice have heard conflicting information, often from media sources, and they are hesitant to be vaccinated. What is the evidence behind these guidelines, and should I really be convincing these women to be vaccinated? ANSWER: Pregnant women and growing fetuses are considered a population vulnerable to H1N1 and influenza viruses. Health Canada published a report in late 2010 estimating that this population was at increased risk of hospitalization and severe outcomes of H1N1 infection. Recommendations included pregnant women as a priority group to receive the H1N1 vaccine as well as the influenza vaccine. This information should be explained unambiguously to pregnant women, and they should be made aware of the sensationalism of media reports, which are often based on opinion and not evidence.
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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 | 0.011 | 0.145 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.007 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".