Chorioamnionitis, gestational age, male sex, birth weight, and illness severity predicted positive autism screening scores in very-low-birth-weight preterm infantsCommentary
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
C Limperopoulos Dr C Limperopoulos, Montreal Children’s Hospital, Montreal, Quebec, Canada; catherine.limperopoulos@childrens.harvard.edu What are the prevalence and risk factors of early autistic features in young children who had very low birth weights? ### Design: inception cohort of preterm infants followed up to 18–24 months of age adjusted for prematurity. ### Setting: {a hospital in Boston, Massachusetts, USA}.* ### Patients: consecutive series of 103 preterm infants with birth weights <1500 g (median gestational age 26 wks, 60% boys, median birth weight 890 g). Exclusion criteria were known or suspected cerebral dysgenesis, dysmorphic syndromes, or chromosomal disorders. 8 infants died, and 4 were lost to follow-up. ### Prognostic factors: maternal age and temperature, acute intrapartum or antepartum haemorrhage, preterm labour, placental infection, gestational age at birth, birth weight, sex, admission Score of …
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it