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
Maternal smoking during pregnancy is associated with several adverse developmental outcomes in the offspring. These include preterm delivery, spontaneous abortion, growth restriction, increased risk of sudden infant death syndrome (SIDS), as well as long-term behavioral and psychiatric disorders. However, the underlying physiological mechanisms for these ill-effects are not fully understood. The aim of this paper is to review the animal and human data to date, linking in utero smoke exposure to negative neurodevelopmental outcomes. It is known that nicotine from cigarette smoke exerts its effects by affecting placental vasculature, and also by nicotinic acetylcholine receptor binding in fetal membranes. Thus, subsequent consequences involve a cascade of events causing not only dysregulation of the nicotinic and muscarinic, but also catecholaminergic and serotonergic neurotransmitter systems. These observations provide some insight into how smoking can impair neurodevelopment, but the long-term neurotransmitter involvement in dysregulation of emotion and attention awaits further elucidation. It is important that pregnant women are warned of the detrimental effects of smoking, and encouraged to abstain for healthy fetal development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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