Bibliographic record
Abstract
The overall aim of this study is to better define the roles of P450 enzymes, particularly those in the CYP2A, 2B, and 2F gene subfamilies, in the metabolism and actions of tobacco-related chemicals. Tobacco smoke contains numerous compounds that are deleterious to health, including the primary addictive component nicotine and procarcinogenic compounds, such as naphthalene (NA) and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK). Our main hypotheses are i) that CYP2A and 2B enzymes are largely responsible for nicotine metabolism, and they can impact nicotine dependence; and ii) that CYP2A, 2B, and 2F enzymes play important and tissue-specific roles in NA and NNK bioactivation, leading to lung toxicity and lung cancer. The specific aims are 1) to study the role of CYP2A and CYP2B in nicotine metabolism and dependence; 2) to study the role of CYP2F2 on NA-induced respiratory tract toxicity; 3) to study the role of CYP2 cluster in NNK bioactivation and lung tumorigenesis; and 4) to characterize human CYP2F1 expression and activity toward NA.
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.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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) | 0.001 | 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 teacher head, 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".