National SIDS Trends in the United States From 2000 to 2019: A Population-Based Study on 80 Million Live Births
Bibliographic record
Abstract
Sudden infant death syndrome (SIDS) is the most common cause of death for infants between 1 month and 1 year of age in the United States. The objective was to examine recent trends in SIDS in the United States, over time and by sex and race. A population-based cross-sectional study was conducted on 80 710 348 live births using data from the Center for Disease Control and Prevention's (CDC) "Birth Data" and "Mortality Multiple Cause" files from 2000 to 2019. Logistic regression examined the effects of sex and race on the risk of SIDS and examined temporal changes in risk across sex and race over the study period. Incidence of SIDS decreased from 6.3 to 3.4/10 000 births from 2000 to 2019, with an overall incidence of 4.9/10 000 births (95% confidence interval [CI] = 4.4-5.3). Male infants were at the greatest risk of SIDS as were black and American Indian infants. Although SIDS incidence decreased by sex and race over time, the decline was smaller among Hispanic and American Indian infants.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".