© 2003 Canadian Medical Association or its licensors Fetal alcohol spectrum disorder
Bibliographic record
Abstract
Ms. L, a 32-year-old G5 P2 A2 (gravida 5, para 2, abortions 2) woman, is admitted to hospital because of premature rupture of membranes at an estimated 34 weeks of gestation. She has had only intermittent prenatal care and no prenatal tests. This is an unplanned pregnancy, and she is not sure of the time of conception. Her 2 older children have been in foster care since birth, because child welfare authorities assessed her ability to parent as inadequate at the time; 1 child is in the process of adoption. Although child welfare authorities have documented a history of problem drinking, the woman denies any drinking during the current pregnancy. Her physical and neurologic examinations are unremarkable. Although she has sought routine prenatal care only periodically during her pregnancy, she describes developing a desire to parent this child in recent weeks. She denies any "recent " use of alcohol or cocaine, but will not be more specific. Informed consent for drug testing is obtained; no alcohol is detected in her blood, and a urine toxic screen is negative for cocaine, heroin, amphetamines and cannabinoids. Her hemoglobin level is 130 g/L, leukocyte count is 8.5 109/L, mean corpuscular volume is 82 fL,
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.676 | 0.450 |
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".