Bibliographic record
Abstract
This thesis explored the association between maternal use of medication during pregnancy and risk of childhood acute lymphocytic leukemia (ALL); specifically, whether use of antibiotics, analgesics, anti-nauseas and/or illicit drugs were associated with an increased risk of ALL in the offspring. All cases of ALL, aged 0--14, diagnosed in Quebec during the period 1994--1997 were identified and matched to population-based controls by age and sex. With an overall response rate of 87%, this resulted in nearly 160 case-control pairs. Information was obtained from parents via telephone interviews, and analyzed using conditional logistic regression. Overall use of medication did not increase risk of childhood ALL (OR = 1.15, 95% CI = 0.66--1.99). Increased risks were observed for illicit drug use in the year prior to birth (OR = 2.44, 95% CI = 0.66--9.00), and for the offspring of women who used pain medication during delivery (OR = 1.88, 95% CI = 1.05--3.31); however, the latter increase was seen for male children only (OR = 3.43, 95% CI = 1.45--8.10).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.003 | 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".