Birth weight standards in the live-born population in Israel.
Bibliographic record
Abstract
BACKGROUND: Lacking curves of "intrauterine" growth, most birthing centers in Israel use United States or Canadian based curves as standards. OBJECTIVE: To establish population-based standards of birth weight of live-born infants in Israel. METHODS: Data on birth weight and gestational age were obtained from the registries of the Israel Ministry of Health and Ministry of the Interior, During the 9 year study period there were 1,074,122 infants delivered in Israel; 787,710 (73%) were included in this analysis. RESULTS: In this study we provide data of birth weight by gestational age of live infants born in Israel between 1993 and 2001. Ranges of birth weight by gestational age are also depicted for singleton and multiple pregnancies. Fetuses in multiple pregnancies grow in a similar manner to singletons until 30 weeks of gestation, after which their growth slows down. CONCLUSIONS: Use of these data as a standard for "intrauterine" growth better represents the Israeli neonatal population than the North American standards. In addition, curves of multiple pregnancies are significantly different from those of singleton pregnancies and might be more appropriate in these pregnancies.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".